Python Data Scientist for AI Reasoning Review
Overview
Work remotely as a contract Data Scientist who reviews AI-generated analytical reasoning, code, and model outputs, and crafts precise reference solutions for data problems. You will assess prompts for accuracy and clarity, then write step-by-step explanations that demonstrate correct methods. Rate and compare AI responses on correctness and reasoning quality to guide improvements in machine learning workflows. This remote, hourly role supports projects in data science and analytics for a fast-growing AI data services company.
What You'll Do6
- 1Review AI-generated reasoning, code, and model outputs to surface inaccuracies and bias.
- 2Create detailed reference solutions and explain steps for solving complex data problems.
- 3Rank AI responses using a defined scoring rubric for accuracy and reasoning quality.
- 4Develop prompts and training content to broaden AI model understanding across topics.
- 5Document findings with reproducible notes and track revisions to support model improvements.
- 6Coordinate with stakeholders to ensure evaluation aligns with business goals and project scope.
Requirements10
- 1Bachelor's degree or higher in data science, computer science, statistics, mathematics, or a related quantitative field.
- 25+ years of professional experience as a Data Scientist or related analytical role with end-to-end ML project delivery.
- 3Strong Python proficiency for data analysis and ML, including pandas, numpy, and scikit-learn.
- 4Solid background in statistics, experimental design, and applied probability; experience designing controlled experiments.
- 5Hands-on experience building, evaluating, and deploying ML models in real-world business or product environments.
- 6Advanced SQL skills and comfort working with large datasets from data warehouses or data lakes.
- 7English proficiency at a minimum C1 level (written and spoken) with ability to explain quantitative concepts.
- 8Experience with data visualization tools or dashboards and presenting analytical findings to stakeholders.
- 9Prior exposure to AI data training, annotation, or reviewing AI-generated analytical content is a strong plus.
- 10Detail-oriented and systematic with a focus on reproducibility and rigorous evaluation.
Who Should Apply
Candidates with 5+ years in data science and prior remote contractor work excel in this role. They translate complex analyses into concise explanations and actionable insights for stakeholders. The role is less suitable for applicants without hands-on end-to-end ML delivery or remote contracting experience. Candidates lacking strong Python/SQL fluency or limited exposure to AI data training may score lower.
Salary Insight
hourly pay: $100/hr. This rate aligns with mid-senior level remote Data Scientist projects requiring end-to-end ML experience and AI data tasks.
Location
Required Skills
Application Tip
Include a concise case study of an end-to-end ML project and attach a notebook demonstrating how you evaluate AI-generated reasoning with a reproducible metric.
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How your application is processed
1Application received
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2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
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