The global demand for bold, innovative AI engineers and Data Scientist/Analyst is rising faster than ever. Among the companies leading this revolution is Turing, one of the world’s fastest-growing AI organizations. Known for accelerating frontier AI model development and real-world AI system deployment, Turing gives fresh talent and experienced professionals the opportunity to create systems that truly impact the world.
If you’re passionate about Python, analytical problem-solving, and want to work on cutting-edge AI projects, this Data Scientist/Analyst opportunity could be your perfect next step.
⭐ About Turing – Building the Next Generation of AI
Turing partners with the world’s top AI labs to advance capabilities in:
- Deep reasoning and logical thinking
- Coding and agentic AI
- Multimodal and multilingual models
- Specialized STEM and frontier knowledge
Alongside research, Turing builds real-world AI products that solve mission-critical challenges for global enterprises.
This makes the organization an ideal place for aspiring Data Scientist/Analyst professionals looking to work at the intersection of research and impactful AI applications.
Role Overview – Data Scientist/Analyst at Turing
Turing is looking for skilled and curious Data Scientist/Analyst professionals with strong Python expertise. The role involves not just coding, but also making intelligent decisions based on data, collaborating with researchers, analyzing model responses, and participating in advanced AI training cycles like RLHF and SFT.
You will work directly with US-based companies building commercial and research-grade AI systems.
🔥 Key Responsibilities – What You Will Work On
As a Data Scientist/Analyst, your daily tasks may include:
Model Training & Optimization
- Writing efficient Python code to train and improve AI models
- Conducting benchmark tests and evaluations (Evals)
- Designing innovative model assessment methods
AI Model Analysis
- Ranking and evaluating AI-generated responses
- Producing clear reasoning and explanations for evaluations
- Creating task-specific datasets for supervised fine-tuning
Human-Centered AI Work
- Supporting teams working on Reinforcement Learning with Human Feedback (RLHF)
- Collaborating with researchers, annotators, and cross-functional partners
- Improving AI model alignment and ethical compliance
Data-Driven Decision Making
- Analyzing datasets from Kaggle, UN, US Government, etc.
- Extracting meaningful insights and communicating findings
- Troubleshooting bugs and refining code in Jupyter notebooks
Quality & Collaboration
- Reviewing peer code and documentation
- Suggesting improvements to enhance AI training processes
- Staying updated on new AI developments and methodologies
Turing Data Scientist/Analyst – Eligibility Criteria
Below is a clear and easy-to-read two-column table summarizing the key requirements:
| Requirement | Details |
|---|---|
| Educational Background | Bachelor’s or Master’s in CS, Engineering, Data Science, or equivalent experience |
| Key Skills | Python, data analysis, problem-solving, analytics, communication |
| AI Knowledge | Understanding of model evaluation, dataset creation, SFT, RLHF (good to have) |
| Soft Skills | Strong reasoning ability, clear written communication, business sense |
| Work Type | Fully remote, contractor |
| Time Commitment | 20, 30, or 40 hours/week with a 4-hour PST overlap |
| Contract Duration | 1 month (extendable based on performance) |
| Interview Process | 60-min technical + 15-min cultural/offer discussion |
Why This Data Scientist/Analyst Role Is Unique
Unlike traditional data science jobs, this role gives you access to:
🌍 1. Global AI Labs
Work with world-leading researchers shaping the future of AI.
🚀 2. High-Impact AI Projects
Contribute directly to training and evaluating commercial LLMs and enterprise AI products.
📚 3. Massive Learning Growth
The projects expose you to advanced techniques like:
- RLHF
- Supervised Fine-Tuning
- Evaluation and benchmarking
- Agentic behavior modeling
🧑💻 4. Fully Remote Flexibility
Work from anywhere while collaborating with top-tier engineers.
Who Should Apply?
This role is perfect for:
- Aspiring or early-career Data Scientist/Analyst professionals
- Python developers transitioning into AI
- Analysts who love extracting insights from large public datasets
- Engineers passionate about LLM development and model evaluations
- Self-driven individuals seeking to grow in the AI ecosystem
How to Prepare for Turing’s Data Scientist/Analyst Role
To stand out, focus on:
✔ Strengthening Python skills (NumPy, Pandas, evaluation scripts)
✔ Practicing data exploration with real datasets
✔ Understanding basic ML concepts like metrics, evaluations, benchmarking
✔ Developing clear writing ability for reasoning explanations
✔ Familiarity with Jupyter notebooks and debugging techniques
Candidates with strong reasoning, curiosity, and the willingness to learn often succeed here.
Final Thoughts
The Data Scientist/Analyst position at Turing is one of the most exciting opportunities for anyone looking to work hands-on with next-gen AI systems. You’ll gain real exposure to LLM development, frontier model evaluation, and cutting-edge AI methodologies — all while working remotely with a global team.
If you want a career where innovation, learning, and real-world impact meet, this role is a fantastic stepping stone into the AI industry.
