Data Scientist/Analyst
via Turing
Key skills
- Python
- Data Analysis
- Data Annotation
About the job
This contract role combines Python data analysis with hands-on AI model training, from building datasets to judging how well models answer questions. It suits data scientists and analysts who can turn public data into clear findings and explain their reasoning in writing. The work is for an AI training company that supports US businesses building research and commercial AI products.
What you'll do
- Write and debug Python code in Jupyter notebooks, documenting the logic behind each step
- Answer business questions with open data from sources like Kaggle, the UN and US government agencies
- Run evals, rank model outputs against set criteria and write a rationale for each judgment
- Build Supervised Fine-Tuning (SFT) datasets and support RLHF work alongside researchers and annotators
- Review colleagues' code and documentation and give actionable feedback
What you'll need
- A Bachelor's or Master's in Engineering or Computer Science, or comparable experience
- Strong Python and data analysis skills, plus the business judgment to draw sound conclusions
- Clear written and spoken English for working with researchers and stakeholders
- Solid problem-solving ability
Good to know
- Fully remote contractor engagement, with no medical or paid leave
- Choose 20, 30 or 40 hours a week, working at least 4 hours a day with 4 hours overlapping Pacific Time
- The contract runs for one month, with a start expected within about a week
- Selection involves a 60-minute technical interview and a 15-minute culture and offer call
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