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Sr. Data Science Consultant – $14/hr Max
Job summary
A leading AI research company is seeking a Data Scientist to develop data processing pipelines and machine learning models remotely. The ideal candidate has strong skills in data science, machine learning, and proficiency in Python and SQL. Responsibilities include designing dashboards for AI agent performance, conducting statistical analyses, and collaborating on evaluation frameworks. This is an hourly contractor position with compensation ranging from $14/hour and potential bonuses based on task completion.
Qualifications
- Strong background in data science, machine learning, or applied statistics.
- Proficient in Python, SQL, and familiar with relevant libraries.
- Understanding of probabilistic modeling and statistical inference.
- Experience with large-scale data systems important.
- Ability to collect and transform complex datasets.
Responsibilities
- Develop data collection and preprocessing pipelines.
- Build and iterate on machine learning models.
- Design and maintain dashboards for agent performance.
- Conduct statistical analyses of AI efficacy.
- Collaborate with engineers for evaluation frameworks.
- Prototype tools to improve model accuracy.
Skills
Tools
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
- 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.
- 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.
- 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.
- Hourly contractor to Mercor.
- Paid weekly via Stripe Connect, based on hours logged.
- Weekly bonus of $500 - $1000 USD per 5 tasks created.
- Upload resume
- AI interview based on your resume
- Submit form
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.