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Data Scientist (Part-Time Remote $100 -$120/hr ) This range is provided by Call For Referral. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $100.00/hr - $120.00/hr Helping AI Startups Hire 0 1 Founding Engineers & Product Talent Backend & Infra US & Europe Data Scientist (AI Task Evaluation & Statistical Analysis Specialist) Hourly Contract Part-Time Remote $100 -$120 per hour 1. About the Role Mercor is partnering with a leading AI research lab to hire experienced Data Scientists specializing in AI task evaluation and statistical analysis. In this role, you will conduct comprehensive failure analysis on AI agent performance across finance-sector tasks - identifying systemic patterns, diagnosing performance bottlenecks, and improving model evaluation frameworks. You'll work closely with AI engineers and research analysts to transform raw evaluation data into actionable insights, strengthening the quality, fairness, and reliability of large-scale AI systems. 2. Key Responsibilities Statistical Failure Analysis: Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.). Root Cause Analysis: Determine whether issues stem from task design, rubric clarity, file complexity, or agent limitations. Dimensional Analysis: Examine performance variations across finance sub-domains, file structures, and evaluation criteria. Visualization & Reporting: Build dashboards and analytical reports that highlight edge cases, performance clusters, and opportunities for improvement. Framework Enhancement: Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings. Stakeholder Communication: Present key insights to data labeling teams, ML engineers, and research collaborators. 3. Required Qualifications Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Hands on experience with exploratory data analysis (EDA) and feature interpretation. Understanding of AI/ML evaluation methodologies and LLM performance metrics. Skilled in using Excel, SQL, and data visualization tools (e.g., Tableau, Looker). 4. Preferred Qualifications Experience with AI/ML model evaluation or quality assurance pipelines. Background in finance or interest in learning financial domain structures. Familiarity with benchmark datasets, failure mode analysis, and evaluation frameworks. 2-4 years of relevant professional experience in data science, analytics, or applied statistics. 5. More About the Opportunity Commitment: Part time, 20-25 hours/week Schedule: Fully remote and asynchronous - work on your own time Duration: 1-2 months, with strong potential for extension Start Date: Immediate 6. Compensation & Contract Terms Hourly Rate: $100-$120/hour (based on experience and region) Payments: Weekly via Stripe Connect for approved work PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

Data Scientist (Part-Time Remote $60 -$100/hr) Call For Referral provided pay range This range is provided by Call For Referral. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $60.00/hr - $100.00/hr Direct message the job poster from Call For Referral Helping AI Startups Hire 0 1 Founding Engineers & Product Talent Backend & Infra US & Europe Exceptional Data Scientists Hourly Contract Part-Time Remote $60-$100 per hour 1. About the Role Mercor is partnering with one of the world's leading AI research labs to engage experienced Data Scientists in developing robust, high-performance systems that power next-generation machine learning applications. In this role, you will perform hands on data science work - from experiment design and data preprocessing to model development, evaluation, and deployment. You will also play a key role in writing, reviewing, and validating prompt-based datasets that train AI systems to think and reason more effectively. This is a remote, part time opportunity ideal for data scientists who thrive in research driven, highly technical environments. 2. Key Responsibilities Design and execute data science experiments for AI model development and evaluation. Collect, preprocess, and analyze structured and unstructured datasets. Build and validate machine learning models using modern frameworks (TensorFlow, PyTorch, scikit learn, etc.). Conduct feature engineering, data wrangling, and statistical inference for experimentation and model optimization. Write, review, and validate prompt-based questions and tasks used to train advanced AI models. Collaborate closely with engineering and research teams to deploy production ready solutions. 3. Ideal Qualifications 3+ years of professional experience in data science or applied analytics. Proficiency in Python (Jupyter Notebooks) and libraries such as NumPy, Pandas, SciPy, SymPy, scikit learn, TensorFlow, or PyTorch. Bachelor's degree in Data Science, Statistics, Computer Science, or a related field from the U.S., Canada, U.K., Australia, or New Zealand. Strong foundation in: Exploratory data analysis and statistical inference Machine learning workflows and model evaluation Feature engineering, data preprocessing, and wrangling A/B testing, experimentation, or causal inference Excellent verbal and written communication skills. Meticulous attention to detail and data quality. 4. More About the Opportunity Commitment: 20 - 40 hours per week (with potential to scale up to 80) Schedule: Fully remote and asynchronous - work on your own time Duration: Minimum 1 month, with potential extension based on performance Start Date: Early September (applications reviewed on a rolling basis) 5. Compensation & Contract Terms Hourly Rate: $60-$100/hour (based on experience and region) Payments: Weekly via Stripe Connect for services rendered Terms: Flexible, based on location and expertise 6. Application Process Submit your resume or portfolio to begin. Complete a brief form outlining your technical background and agent usage experience. Applications are reviewed continuously - selected candidates will be contacted for next steps. PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

Machine Learning Software Engineer (Part-Time $80 -$120/hr) Join to apply for the Machine Learning Software Engineer (Part-Time $80 -$120/hr) role at Call For Referral. Get AI-powered advice on this job and more exclusive features. This range is provided by Call For Referral. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range: $80.00/hr - $120.00/hr About the Role At Mercor, we're building the talent engine that helps leading labs and research organizations move AI forward. Our newest initiative focuses on benchmarking and improving model performance and training speed across real machine learning workloads. If you're an early-career Machine Learning Engineer or an ML-focused graduate student/PhD who values innovation, rigor, and meaningful impact, we'd love to meet you. This is a remote, asynchronous, part-time opportunity ideal for individuals who thrive on clear structure and measurable outcomes. What to Expect Schedule: Remote and asynchronous - set your own working hours Commitment: 20 hours per week Duration: Through December 22nd, with potential extension into 2026 What You'll Do Draft detailed natural-language plans and code implementations for machine learning tasks Convert novel ML problems into agent-executable tasks for reinforcement learning environments Identify failure modes and apply golden patches to LLM-generated trajectories for ML tasks What You'll Bring Experience: 0-2 years as a Machine Learning Engineer or graduate-level experience in Computer Science, ML, or related coursework Required Skills: Familiarity with ML libraries: TensorFlow, XGBoost, scikit-learn, etc.; experience with model training, data preparation, and evaluation Bonus: Contributions to ML benchmarks or open-source ML tooling Compensation & Terms Rate: $80-$120 per hour (based on experience and region) Payments: Weekly via Stripe Connect How to Apply Complete the System Design Session ( Fill out the Machine Learning Engineer Screen ( PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

A leading recruitment firm is seeking a STEM Postdoctoral Research Scientist for part-time engagement in a remote capacity. The ideal candidate holds a PhD in a relevant STEM field and possesses strong communication skills. Responsibilities include designing domain-specific problems and collaborating with researchers to enhance AI systems. This role offers a flexible commitment of 10-20 hours per week, with an attractive pay rate of $55 to $70 per hour. Immediate start available.

A leading AI technology firm is hiring a part-time Machine Learning Software Engineer to work remotely. This role involves drafting plans and implementations for machine learning tasks, converting ML problems into tasks for reinforcement learning, and applying solutions to identified issues. Ideal for early-career Machine Learning Engineers or ML-focused graduate students. The role offers flexible hours, approximately 20 hours weekly, with a pay range of $80 to $120 per hour based on skills and experience.