Data Scientist/Analyst
- Pay
- Pay not stated
- Open to
- Worldwide
- Apply
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- Skills
- python
- data analysis
- jupyter
- rlhf
- sft
- model evaluation
What you'll do
You do the data science and code side of model improvement. Turing describes work for US companies building commercial and research AI, mixing analysis of public datasets (the ad mentions Kaggle, the UN and the US government) with model training support.
- Write and maintain high-quality Python, often explained in Jupyter notebooks
- Run evaluations to benchmark models and analyze results
- Rank AI responses to user queries and write rationales
- Create and maintain datasets for supervised fine-tuning, and work with researchers on RLHF and reward models
- Design evaluation strategies, refine ideal responses, peer-review code and documentation, and try new tools and methods
Who fits
- A bachelor's or master's in engineering or computer science, or equivalent experience
- Strong data analysis and business sense, and the ability to explain findings clearly
- Good problem-solving, and communication with stakeholders and researchers
- Fluent conversational and written English
No country is required. This is the oldest ad in the batch: first posted in January 2024 and still open.
What it pays
The ad does not publish a rate. Turing sets rates per project; see the company page.
Worth knowing
Good:
- Three time options: 20, 30 or 40 hours a week
- Broad exposure to evals, SFT and RLHF
- Remote, with work for leading LLM companies
Less good:
- A one-month contract only, with a start "next week"
- At least 4 hours a day and 20 hours a week, with 4 hours of overlap with PST
- No medical or paid leave
- Evaluation takes about 75 minutes: a 60-minute technical interview and a 15-minute cultural and offer discussion
About this listing
Posted on Turing's board on 25 January 2024 and read on 18 October 2026. Hours, duration and interview steps are Turing's own text. See Turing.
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