About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position AI Red Team Specialist Type Full-time or Part-time Contract Work Compensation $26/hour Location Remote Commitment Flexible hours Role Responsibilities Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases. Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks. Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing. Document reproducibly by producing reports, datasets, and attack cases that customers can act on. Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have: Native-level fluency in English and Spanish. Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing. Structured approach using frameworks or benchmarks. Strong communication skills to explain risks clearly to technical and non-technical stakeholders. Adaptability to thrive on moving across projects and customers. Preferred: Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction. Background in Cybersecurity: penetration testing, exploit development, reverse engineering. Expertise in socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing. Creative probing skills: psychology, acting, writing for unconventional adversarial thinking. Compensation & Legal Hourly contractor, Paid weekly. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
04/02/2026
Full time
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position AI Red Team Specialist Type Full-time or Part-time Contract Work Compensation $26/hour Location Remote Commitment Flexible hours Role Responsibilities Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases. Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks. Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing. Document reproducibly by producing reports, datasets, and attack cases that customers can act on. Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have: Native-level fluency in English and Spanish. Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing. Structured approach using frameworks or benchmarks. Strong communication skills to explain risks clearly to technical and non-technical stakeholders. Adaptability to thrive on moving across projects and customers. Preferred: Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction. Background in Cybersecurity: penetration testing, exploit development, reverse engineering. Expertise in socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing. Creative probing skills: psychology, acting, writing for unconventional adversarial thinking. Compensation & Legal Hourly contractor, Paid weekly. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
A leading AI technology company is looking for a Data Scientist/Analyst to join their dynamic team in San Francisco. In this role, you will drive key product metrics and enhance data quality while working collaboratively with engineers and product managers. Candidates should have a BS/BA in a quantitative field and strong SQL and Python skills. The company offers generous equity grants, relocation bonuses, and various other benefits.
04/02/2026
Full time
A leading AI technology company is looking for a Data Scientist/Analyst to join their dynamic team in San Francisco. In this role, you will drive key product metrics and enhance data quality while working collaboratively with engineers and product managers. Candidates should have a BS/BA in a quantitative field and strong SQL and Python skills. The company offers generous equity grants, relocation bonuses, and various other benefits.
About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1 500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. We averaged 11% week over week growth in July, 18% in August, and 19% in September. About the Role As a Security Engineer at Mercor, you'll own the responsibility of safeguarding our systems, infrastructure, and data. You'll design and implement defenses, monitor for threats, and ensure security is integrated across the entire development and deployment lifecycle. This role is ideal for someone who thrives in fast moving environments, can anticipate risks before they materialize, and loves building practical, scalable security systems without slowing down innovation. What You'll Work On Designing and implementing security controls across infrastructure, applications, and networks. Monitoring for vulnerabilities, threats, and suspicious activity. Performing penetration tests, vulnerability assessments, and incident response. Embedding security practices into CI/CD pipelines and development workflows. Ensuring compliance with frameworks such as SOC 2, ISO 27001, and GDPR. Partnering with engineers to ensure security is a first class part of system design. Researching emerging threats and implementing countermeasures proactively. What We're Looking For Strong knowledge of security principles, tools, and best practices. Experience with SIEMs, IDS/IPS, firewalls, and vulnerability scanning. Familiarity with cloud security (AWS, GCP, or Azure). Solid understanding of encryption, authentication, and authorization systems. Proven track record of securing distributed, high scale environments. Strong collaboration and communication skills. Ability to balance security rigor with business speed in a hyper growth environment. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Seniority Level Entry level Employment Type Full time Job Function Information Technology Industries Software Development
04/02/2026
Full time
About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1 500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. We averaged 11% week over week growth in July, 18% in August, and 19% in September. About the Role As a Security Engineer at Mercor, you'll own the responsibility of safeguarding our systems, infrastructure, and data. You'll design and implement defenses, monitor for threats, and ensure security is integrated across the entire development and deployment lifecycle. This role is ideal for someone who thrives in fast moving environments, can anticipate risks before they materialize, and loves building practical, scalable security systems without slowing down innovation. What You'll Work On Designing and implementing security controls across infrastructure, applications, and networks. Monitoring for vulnerabilities, threats, and suspicious activity. Performing penetration tests, vulnerability assessments, and incident response. Embedding security practices into CI/CD pipelines and development workflows. Ensuring compliance with frameworks such as SOC 2, ISO 27001, and GDPR. Partnering with engineers to ensure security is a first class part of system design. Researching emerging threats and implementing countermeasures proactively. What We're Looking For Strong knowledge of security principles, tools, and best practices. Experience with SIEMs, IDS/IPS, firewalls, and vulnerability scanning. Familiarity with cloud security (AWS, GCP, or Azure). Solid understanding of encryption, authentication, and authorization systems. Proven track record of securing distributed, high scale environments. Strong collaboration and communication skills. Ability to balance security rigor with business speed in a hyper growth environment. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Seniority Level Entry level Employment Type Full time Job Function Information Technology Industries Software Development
About Mercor Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in person five days a week in our new San Francisco headquarters. About the Role As a Site Reliability Engineer (SRE) at Mercor, you'll own production reliability across our most critical systems, partnering directly with infrastructure leadership. You'll play a foundational role in building our SRE function from the ground up and shaping how Mercor operates large scale, high availability systems. What You'll Do Own reliability and production safety for core shared services and customer facing systems. Partner directly with infrastructure leadership to define SRE priorities, reliability standards, and production safety roadmap. Repair and improve how our production systems are structured so they are stable, resource efficient, isolated, and well observed. Introduce and champion modern SRE practices (e.g., incident response, postmortems, SLIs/SLOs) across engineering teams. Collaborate with leverage engineering and applied AI teams to ensure sustainable growth. Represent SRE best practices internally and help teams onboard onto production in a way that is safe, scalable, and consistent with SRE principles. What We're Looking For Experience doing true SRE work (not just operations) across multiple roles or companies. Deep familiarity with SRE practices as popularized by Google (e.g., error budgets, reliability vs. risk trade offs, large scale distributed systems). 5+ years of SRE experience; 15+ years of overall experience is ideal for this first SRE hire. Proven success operating systems at scale, with a strong understanding of the challenges of large, distributed production environments. Strong collaboration skills; able to work efficiently with cross functional engineering teams. Ability to drive cultural change around reliability while remaining hands on in building and fixing systems. Comfort working in high intensity, high availability environments where uptime and production quality are critical. Nice to Haves Experience as a founding SRE or early SRE hire, standing up SRE practices and orgs from scratch. Hands on experience in the AWS ecosystem, Kubernetes, and modern IaC tooling (Terraform, Spacelift, etc.).
04/02/2026
Full time
About Mercor Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in person five days a week in our new San Francisco headquarters. About the Role As a Site Reliability Engineer (SRE) at Mercor, you'll own production reliability across our most critical systems, partnering directly with infrastructure leadership. You'll play a foundational role in building our SRE function from the ground up and shaping how Mercor operates large scale, high availability systems. What You'll Do Own reliability and production safety for core shared services and customer facing systems. Partner directly with infrastructure leadership to define SRE priorities, reliability standards, and production safety roadmap. Repair and improve how our production systems are structured so they are stable, resource efficient, isolated, and well observed. Introduce and champion modern SRE practices (e.g., incident response, postmortems, SLIs/SLOs) across engineering teams. Collaborate with leverage engineering and applied AI teams to ensure sustainable growth. Represent SRE best practices internally and help teams onboard onto production in a way that is safe, scalable, and consistent with SRE principles. What We're Looking For Experience doing true SRE work (not just operations) across multiple roles or companies. Deep familiarity with SRE practices as popularized by Google (e.g., error budgets, reliability vs. risk trade offs, large scale distributed systems). 5+ years of SRE experience; 15+ years of overall experience is ideal for this first SRE hire. Proven success operating systems at scale, with a strong understanding of the challenges of large, distributed production environments. Strong collaboration skills; able to work efficiently with cross functional engineering teams. Ability to drive cultural change around reliability while remaining hands on in building and fixing systems. Comfort working in high intensity, high availability environments where uptime and production quality are critical. Nice to Haves Experience as a founding SRE or early SRE hire, standing up SRE practices and orgs from scratch. Hands on experience in the AWS ecosystem, Kubernetes, and modern IaC tooling (Terraform, Spacelift, etc.).
Get AI-powered advice on this job and more exclusive features. About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can't hire great people as quickly as revenue is growing. What You'll Do In your first year you'll ship analyses and experiments that move core product metrics, match quality, time-to-hire, candidate experience, and revenue. Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems. Design/run A/B tests and quasi-experiments; turn results into product decisions the same week. Build source-of-truth dashboards and lightweight data models so teams can self-serve answers. Instrument events with engineers; improve data quality and latency from ingestion to insight. Prototype quick models (from baselines to gradient boosting) to improve matching and scoring. Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries. You'll Thrive Here If You have solid fundamentals (statistics, SQL, Python) and projects you're proud to demo. You iterate fast, frame the question, test, and ship in day, and care as much about clarity of communication as you do about p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you'll learn alongside folks who've shipped at Jane Street, Citadel, Databricks, and Stripe. Qualifications 0-2 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work). Strong SQL; Python for analysis; comfort with experiment design and causal thinking. Communicates crisply with engineers, PMs, and leadership; turns analysis into action. Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation. Benefits Generous equity grant vested over 4 years A $20K relocation bonus (if moving to the Bay Area) A $10K housing bonus (if you live within 0.5 miles of our office) A $1K monthly stipend for meals Free Equinox membership Health insurance
04/02/2026
Full time
Get AI-powered advice on this job and more exclusive features. About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can't hire great people as quickly as revenue is growing. What You'll Do In your first year you'll ship analyses and experiments that move core product metrics, match quality, time-to-hire, candidate experience, and revenue. Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems. Design/run A/B tests and quasi-experiments; turn results into product decisions the same week. Build source-of-truth dashboards and lightweight data models so teams can self-serve answers. Instrument events with engineers; improve data quality and latency from ingestion to insight. Prototype quick models (from baselines to gradient boosting) to improve matching and scoring. Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries. You'll Thrive Here If You have solid fundamentals (statistics, SQL, Python) and projects you're proud to demo. You iterate fast, frame the question, test, and ship in day, and care as much about clarity of communication as you do about p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you'll learn alongside folks who've shipped at Jane Street, Citadel, Databricks, and Stripe. Qualifications 0-2 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work). Strong SQL; Python for analysis; comfort with experiment design and causal thinking. Communicates crisply with engineers, PMs, and leadership; turns analysis into action. Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation. Benefits Generous equity grant vested over 4 years A $20K relocation bonus (if moving to the Bay Area) A $10K housing bonus (if you live within 0.5 miles of our office) A $1K monthly stipend for meals Free Equinox membership Health insurance
This range is provided by Mercor. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $130,000.00/yr - $500,000.00/yr About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is used by all of the top 5 AI labs. We scaled from $1-$500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people. About The Role As a Software Engineer at Mercor, you'll take end-to-end ownership of complex projects that power the workflows of the world's leading AI companies. You'll architect and scale distributed systems, mentor other engineers, and set technical direction for high-impact initiatives. This role goes beyond coding: you'll help shape engineering culture, influence product decisions, and ensure our systems scale in lockstep with our hyper-growth. At The End Of The Process, You'll Be Team-matched To Where You Can Have The Most Impact, On One Of The Following Talent platform side - building next-generation tools that automate recruiting end-to-end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments. Applied AI/human data side - partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities. What You'll Do Design, build, and scale production-grade backend APIs, services, and infrastructure. Take ownership of system design and architecture decisions that impact core workflows. Mentor and support junior engineers through code reviews, pair programming, and design discussions. Partner with Product and Design to deliver features quickly without sacrificing quality or scalability. Anticipate technical bottlenecks, propose solutions, and drive initiatives that increase reliability. Contribute to the systems that enable OpenAI, Anthropic, Google, and others to train and evaluate their models. What We're Looking For Strong coding fundamentals in Python (our primary backend), though interviews are language-agnostic. Deep understanding of distributed systems, scalability challenges, and system design. Experience shipping production systems at scale in high-growth or high-stakes environments. Ability to reason about trade-offs and make decisions balancing speed and reliability. Strong communication skills with an ability to align technical and business goals. Bias toward ownership, curiosity, and delivering simple solutions to complex problems. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years A $20K relocation bonus (if moving to the Bay Area) A $10K housing bonus (if you live within 0.5 miles of our office) A $1K monthly stipend for meals Free Equinox membership Health insurance Compensation Range: $130K - $500K Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Mercor by 2x Software Engineer, Fullstack, Early Career - San Francisco, CA, $126,000.00-$180,000.00
04/02/2026
Full time
This range is provided by Mercor. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $130,000.00/yr - $500,000.00/yr About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is used by all of the top 5 AI labs. We scaled from $1-$500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people. About The Role As a Software Engineer at Mercor, you'll take end-to-end ownership of complex projects that power the workflows of the world's leading AI companies. You'll architect and scale distributed systems, mentor other engineers, and set technical direction for high-impact initiatives. This role goes beyond coding: you'll help shape engineering culture, influence product decisions, and ensure our systems scale in lockstep with our hyper-growth. At The End Of The Process, You'll Be Team-matched To Where You Can Have The Most Impact, On One Of The Following Talent platform side - building next-generation tools that automate recruiting end-to-end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments. Applied AI/human data side - partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities. What You'll Do Design, build, and scale production-grade backend APIs, services, and infrastructure. Take ownership of system design and architecture decisions that impact core workflows. Mentor and support junior engineers through code reviews, pair programming, and design discussions. Partner with Product and Design to deliver features quickly without sacrificing quality or scalability. Anticipate technical bottlenecks, propose solutions, and drive initiatives that increase reliability. Contribute to the systems that enable OpenAI, Anthropic, Google, and others to train and evaluate their models. What We're Looking For Strong coding fundamentals in Python (our primary backend), though interviews are language-agnostic. Deep understanding of distributed systems, scalability challenges, and system design. Experience shipping production systems at scale in high-growth or high-stakes environments. Ability to reason about trade-offs and make decisions balancing speed and reliability. Strong communication skills with an ability to align technical and business goals. Bias toward ownership, curiosity, and delivering simple solutions to complex problems. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years A $20K relocation bonus (if moving to the Bay Area) A $10K housing bonus (if you live within 0.5 miles of our office) A $1K monthly stipend for meals Free Equinox membership Health insurance Compensation Range: $130K - $500K Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Mercor by 2x Software Engineer, Fullstack, Early Career - San Francisco, CA, $126,000.00-$180,000.00
Join to apply for the Infrastructure Engineer role at Mercor. Base pay range: $130,000.00/yr - $500,000.00/yr. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1 500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: we averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can't hire great people as quickly as revenue is growing. About The Role As an Infrastructure Engineer at Mercor, you'll build and scale the systems that power our rapid growth. You'll ensure our infrastructure is highly available, cost effective, and able to handle explosive traffic and compute demands. You'll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability. We're hiring broadly across Infrastructure: Developer Productivity Engineer, Database Engineer, and Platform Engineer. Candidates will be team matched after the first screen, so we encourage you to apply even if your experience is stronger in one area than another. What You'll Work On Designing and maintaining core infrastructure across cloud environments. Building Infrastructure as Code workflows to automate deployments and scaling. Improving monitoring, logging, and alerting systems to maintain reliability. Managing CI/CD pipelines (Github, Spacelift) to ensure seamless deployments. Supporting disaster recovery planning and ensuring high availability of systems. Partnering with product and research teams to design architectures that scale with workload demands. Identifying and fixing performance bottlenecks in compute, storage, and networking. What We're Looking For Strong experience with cloud platforms (AWS). Proficiency with Infrastructure as Code tools (Terraform). Deep experience with containers and orchestration (Docker). Solid understanding of distributed architectures. Programming languages (Python, Go). Proven ability to ship reliable infrastructure in production environments. Growth mindset and eagerness to thrive in a hyper growth, high ownership environment. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years. A $20,000 relocation bonus (if moving to the Bay Area). A $10,000 housing bonus (if you live within 0.5 miles of our office). A $1,000 monthly stipend for meals. Free Equinox membership. Health insurance. Seniority level: Mid Senior level Employment type: Full time Job function: Information Technology Industries: Software Development
04/02/2026
Full time
Join to apply for the Infrastructure Engineer role at Mercor. Base pay range: $130,000.00/yr - $500,000.00/yr. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1 500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: we averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can't hire great people as quickly as revenue is growing. About The Role As an Infrastructure Engineer at Mercor, you'll build and scale the systems that power our rapid growth. You'll ensure our infrastructure is highly available, cost effective, and able to handle explosive traffic and compute demands. You'll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability. We're hiring broadly across Infrastructure: Developer Productivity Engineer, Database Engineer, and Platform Engineer. Candidates will be team matched after the first screen, so we encourage you to apply even if your experience is stronger in one area than another. What You'll Work On Designing and maintaining core infrastructure across cloud environments. Building Infrastructure as Code workflows to automate deployments and scaling. Improving monitoring, logging, and alerting systems to maintain reliability. Managing CI/CD pipelines (Github, Spacelift) to ensure seamless deployments. Supporting disaster recovery planning and ensuring high availability of systems. Partnering with product and research teams to design architectures that scale with workload demands. Identifying and fixing performance bottlenecks in compute, storage, and networking. What We're Looking For Strong experience with cloud platforms (AWS). Proficiency with Infrastructure as Code tools (Terraform). Deep experience with containers and orchestration (Docker). Solid understanding of distributed architectures. Programming languages (Python, Go). Proven ability to ship reliable infrastructure in production environments. Growth mindset and eagerness to thrive in a hyper growth, high ownership environment. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years. A $20,000 relocation bonus (if moving to the Bay Area). A $10,000 housing bonus (if you live within 0.5 miles of our office). A $1,000 monthly stipend for meals. Free Equinox membership. Health insurance. Seniority level: Mid Senior level Employment type: Full time Job function: Information Technology Industries: Software Development
Mercor provided pay range This range is provided by Mercor. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $130,000.00/yr - $500,000.00/yr About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people. About The Role As a Senior Software Engineer at Mercor, you'll take end to end ownership of complex projects that power the workflows of the world's leading AI companies. You'll architect and scale distributed systems, mentor other engineers, and set technical direction for high impact initiatives. This role goes beyond coding: you'll help shape engineering culture, influence product decisions, and ensure our systems scale in lockstep with our hyper growth. Team Matching At the end of the process, you'll be team matched to one of the following where you can have the most impact: Talent platform side - building next generation tools that automate recruiting end to end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments. Applied AI/human data side - partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities. What You'll Do Design, build, and scale production grade backend APIs, services, and infrastructure. Take ownership of system design and architecture decisions that impact core workflows. Mentor and support junior engineers through code reviews, pair programming, and design discussions. Partner with Product and Design to deliver features quickly without sacrificing quality or scalability. Anticipate technical bottlenecks, propose solutions, and drive initiatives that increase reliability. Contribute to the systems that enable OpenAI, Anthropic, Google, and others to train and evaluate their models. What We're Looking For Strong coding fundamentals in Python (our primary backend), though interviews are language agnostic. Deep understanding of distributed systems, scalability challenges, and system design. Experience shipping production systems at scale in high growth or high stakes environments. Ability to reason about trade offs and make decisions balancing speed and reliability. Strong communication skills with an ability to align technical and business goals. Bias toward ownership, curiosity, and delivering simple solutions to complex problems. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years A $20K relocation bonus (if moving to the Bay Area) A $10K housing bonus (if you live within 0.5 miles of our office) A $1K monthly stipend for meals Free Equinox membership Health insurance Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Software Development
04/02/2026
Full time
Mercor provided pay range This range is provided by Mercor. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $130,000.00/yr - $500,000.00/yr About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people. About The Role As a Senior Software Engineer at Mercor, you'll take end to end ownership of complex projects that power the workflows of the world's leading AI companies. You'll architect and scale distributed systems, mentor other engineers, and set technical direction for high impact initiatives. This role goes beyond coding: you'll help shape engineering culture, influence product decisions, and ensure our systems scale in lockstep with our hyper growth. Team Matching At the end of the process, you'll be team matched to one of the following where you can have the most impact: Talent platform side - building next generation tools that automate recruiting end to end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments. Applied AI/human data side - partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities. What You'll Do Design, build, and scale production grade backend APIs, services, and infrastructure. Take ownership of system design and architecture decisions that impact core workflows. Mentor and support junior engineers through code reviews, pair programming, and design discussions. Partner with Product and Design to deliver features quickly without sacrificing quality or scalability. Anticipate technical bottlenecks, propose solutions, and drive initiatives that increase reliability. Contribute to the systems that enable OpenAI, Anthropic, Google, and others to train and evaluate their models. What We're Looking For Strong coding fundamentals in Python (our primary backend), though interviews are language agnostic. Deep understanding of distributed systems, scalability challenges, and system design. Experience shipping production systems at scale in high growth or high stakes environments. Ability to reason about trade offs and make decisions balancing speed and reliability. Strong communication skills with an ability to align technical and business goals. Bias toward ownership, curiosity, and delivering simple solutions to complex problems. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years A $20K relocation bonus (if moving to the Bay Area) A $10K housing bonus (if you live within 0.5 miles of our office) A $1K monthly stipend for meals Free Equinox membership Health insurance Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Software Development
Software Engineer, Backend Join to apply for the Software Engineer, Backend role at Mercor. Base Pay Range $130,000.00/yr - $500,000.00/yr About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people. About the Role As a Software Engineer at Mercor, you'll join a small, product-driven engineering team building modern backend systems that power critical workflows for some of the most advanced AI companies in the world. You'll own projects end-to-end, designing, building, and shipping production systems that directly impact customers. From day one you'll write production-grade code, reason about systems holistically, and make decisions that tie directly to business outcomes. You'll work closely with product and design, moving fast while upholding a high bar for code quality, scalability, and simplicity. Where You'll Be Impacting Talent platform side - building next generation tools that automate recruiting end to end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments. Applied AI/human data side - partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities. What You'll Do Design and build scalable backend APIs, services, and infrastructure. Collaborate across the stack with product and design to ship features quickly. Write clean, maintainable code and contribute to documentation. Participate in code reviews, technical design discussions, and retros. Solve real world customer problems under real world constraints. Contribute to core systems that power training, evaluation, and scaling for leading AI labs. What We're Looking For Strong coding fundamentals in at least one modern language (Python, Go, Rust, etc.). Understanding of data structures, algorithms, and distributed systems. Familiarity with APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP). Bias toward ownership, curiosity, and asking the right questions. Ability to break down ambiguity and ship simple solutions to complex problems. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years. A $20,000 relocation bonus (if moving to the Bay Area). A $10,000 housing bonus (if you live within 0.5 miles of our office). A $1,000 monthly stipend for meals. Free Equinox membership. Health insurance. Compensation Range $130,000.00 - $500,000.00 Seniority Level Entry level Employment Type Full time Job Function Engineering and Information Technology Industries: Software Development Location San Francisco, CA
04/02/2026
Full time
Software Engineer, Backend Join to apply for the Software Engineer, Backend role at Mercor. Base Pay Range $130,000.00/yr - $500,000.00/yr About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people. About the Role As a Software Engineer at Mercor, you'll join a small, product-driven engineering team building modern backend systems that power critical workflows for some of the most advanced AI companies in the world. You'll own projects end-to-end, designing, building, and shipping production systems that directly impact customers. From day one you'll write production-grade code, reason about systems holistically, and make decisions that tie directly to business outcomes. You'll work closely with product and design, moving fast while upholding a high bar for code quality, scalability, and simplicity. Where You'll Be Impacting Talent platform side - building next generation tools that automate recruiting end to end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments. Applied AI/human data side - partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities. What You'll Do Design and build scalable backend APIs, services, and infrastructure. Collaborate across the stack with product and design to ship features quickly. Write clean, maintainable code and contribute to documentation. Participate in code reviews, technical design discussions, and retros. Solve real world customer problems under real world constraints. Contribute to core systems that power training, evaluation, and scaling for leading AI labs. What We're Looking For Strong coding fundamentals in at least one modern language (Python, Go, Rust, etc.). Understanding of data structures, algorithms, and distributed systems. Familiarity with APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP). Bias toward ownership, curiosity, and asking the right questions. Ability to break down ambiguity and ship simple solutions to complex problems. Why Mercor Impact: Your work powers how the world's leading AI labs train and test their models. Learning: Get early insights into frontier model capabilities months before the market. Growth: Work on both infrastructure and research adjacent projects with fast paths to ownership. Benefits Generous equity grant vested over 4 years. A $20,000 relocation bonus (if moving to the Bay Area). A $10,000 housing bonus (if you live within 0.5 miles of our office). A $1,000 monthly stipend for meals. Free Equinox membership. Health insurance. Compensation Range $130,000.00 - $500,000.00 Seniority Level Entry level Employment Type Full time Job Function Engineering and Information Technology Industries: Software Development Location San Francisco, CA