Machine Learning Engineer - Remote
About the role
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: Data Scientist
Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities
- Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.
- Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
- Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
- Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.
- Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.
- Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.
Qualifications Must-Have
- Strong background in data science, machine learning, or applied statistics.
- Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
- Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
- Experience with large-scale data systems (Snowflake, BigQuery, or similar).
- Ability to collect, clean, and transform complex datasets into structured formats ready for modeling and analysis.
Preferred
- Interest in AI agents and how data can shape their reasoning, adaptability, and behavior.
- Enjoy collaborating with cross-functional teams to define meaningful KPIs and experiment setups.
Compensation & Legal
- Hourly contractor to Mercor.
- Paid weekly via Stripe Connect, based on hours logged.
- Weekly bonus of $500 - $1000 USD per 5 tasks created.
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: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Machine Learning Engineer - Remote
About the role
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: Data Scientist
Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities
- Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.
- Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
- Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
- Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.
- Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.
- Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.
Qualifications Must-Have
- Strong background in data science, machine learning, or applied statistics.
- Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
- Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
- Experience with large-scale data systems (Snowflake, BigQuery, or similar).
- Ability to collect, clean, and transform complex datasets into structured formats ready for modeling and analysis.
Preferred
- Interest in AI agents and how data can shape their reasoning, adaptability, and behavior.
- Enjoy collaborating with cross-functional teams to define meaningful KPIs and experiment setups.
Compensation & Legal
- Hourly contractor to Mercor.
- Paid weekly via Stripe Connect, based on hours logged.
- Weekly bonus of $500 - $1000 USD per 5 tasks created.
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: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,