
Data Scientist - Contractor Turing - Hiring 2026
Posted on:December 29, 2025
Explore the latest Turing jobs 2026 and find exciting career opportunities. Turing is currently hiring for Fresher/Experienced professionals. This vacancy is entitled as a Remote jobs, offcampus jobs in Turing, and also explore all other Data Scientist - Contractor Turing - Hiring 2026 listings. Don't miss this chance to kickstart your career with Turing today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
AboutTuring
Data Scientist - Contractor Turing - Hiring 2026
Based in San Francisco, California, Turing is a leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: accelerating frontier research with high-quality data, advanced training pipelines that push the boundaries of reasoning, multimodality, and STEM, plus top AI researchers with expertise in frontier data for coding, reasoning, STEM, multilinguality, multimodality, and agents; and applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence: systems that perform, deliver impact, and drive lasting results on the P&L.
Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers,” #1 on The Information’s annual list of “Most Promising B2B Companies,” and Fast Company’s list of the “Best Workplaces for Innovators." Turing’s leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.
Job Details
| Company | Turing |
|---|---|
| Position | Data Scientist - Contractor |
| Location | Remote |
| Job Type | Full Time |
| Experience | Fresher/Experienced |
| Website | https://turing.com |
Qualifications
- Commitments Required: at least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
- Engagement type : Contractor assignment (no medical/paid leave)
- Duration of contract : 1 month; [expected start date is next week]
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- A desire to have a significant impact on the field of artificial intelligence
- Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings
- Excellent problem-solving and analytical skills
- Excellent communication abilities to work with stakeholders and researchers successfully
- Fluent in conversational and written English communication skills
Responsibilities
- Design, develop, and maintain efficient, high-quality code to train and optimize AI models.
- Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
- Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
- Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
- Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
- Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.
- Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.
- Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
- Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
- Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
- Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.
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