Turing Recruitment 2025 brings an exciting opportunity for aspiring Data Scientists and Data Analysts who are passionate about artificial intelligence and data-driven problem solving. As part of its ongoing off campus drive and freshers hiring initiatives, Turing is actively seeking skilled professionals with strong Python and analytical expertise to work on cutting-edge AI projects. This role is ideal for candidates who want to contribute to the development of advanced AI systems while working remotely with global teams and leading AI labs in the United States.
With artificial intelligence transforming industries worldwide, Turing offers a platform where innovation, research, and real-world impact come together. If you are looking to grow your career in AI, data science, and analytics, this opportunity deserves serious consideration.
Turing Recruitment 2025
| Job Details | Information |
|---|---|
| Company Name | Turing |
| Job Role | Data Scientist / Data Analyst |
| Qualification | Bachelor’s / Master’s Degree (Engineering, Computer Science, or equivalent) |
| Experience | Freshers & Experienced Candidates |
| Job Location | Remote (Global) |
| Salary | Expected ₹6 – 8 LPA |
Job Overview
As part of Turing Recruitment 2025, the company is hiring Data Scientists and Data Analysts with strong Python proficiency. In this role, professionals will work on developing, evaluating, and improving AI models used in both commercial and research environments. You will collaborate with researchers, annotators, and cross-functional teams to analyze large datasets, improve model performance, and generate valuable insights for business decision-making.
This position offers a fully remote work environment and flexible weekly commitments, making it suitable for both fresh graduates and experienced professionals looking for global exposure in AI-driven roles.
Key Responsibilities
The Data Scientist / Analyst role at Turing involves a wide range of technical and analytical responsibilities, including:
- Designing, developing, and maintaining high-quality Python code for training and optimizing AI models
- Conducting evaluations (Evals) to benchmark AI model performance and identify areas for improvement
- Evaluating and ranking AI-generated responses across different domains based on predefined quality criteria
- Creating clear explanations and rationales for model evaluations, demonstrating strong reasoning skills
- Leading supervised fine-tuning (SFT) efforts by building and maintaining task-specific datasets
- Collaborating with researchers and annotators on Reinforcement Learning with Human Feedback (RLHF)
- Designing innovative evaluation strategies to improve AI alignment, performance, and ethical compliance
- Refining AI-generated outputs to ensure clarity, relevance, and technical accuracy
- Performing peer reviews of code and documentation to maintain high-quality standards
- Working closely with cross-functional teams to support product improvements
- Continuously learning and integrating new AI tools, methods, and technologies
Skills Required
To be eligible for this role under Turing freshers hiring and off campus drive, candidates should possess the following skills:
- Strong proficiency in Python programming
- Excellent data analysis and problem-solving abilities
- Strong understanding of business analytics and data-driven decision-making
- Ability to analyze large datasets from sources such as Kaggle, UN databases, and government datasets
- Experience with Jupyter notebooks and technical documentation
- Strong communication skills to collaborate with researchers and stakeholders
- Fluency in written and conversational English
- A genuine interest in making a meaningful impact in artificial intelligence
Why Join Turing?
Joining Turing offers more than just a job—it provides a chance to work on the future of artificial intelligence. Here are some key reasons to consider this opportunity:
- Fully remote work environment with global exposure
- Opportunity to work on advanced AI and large language model (LLM) projects
- Collaboration with top AI researchers and industry experts
- Flexible work commitments with multiple weekly hour options
- Hands-on experience with real-world AI systems used by global companies
- Rapid professional growth in a high-impact AI-driven environment
Salary Details
The salary for the Data Scientist / Analyst role at Turing is competitive and aligned with industry standards. Compensation depends on the selected weekly commitment (20, 30, or 40 hours per week) and the candidate’s skill level and experience. As this is a contractor-based assignment, benefits such as paid leave or medical coverage are not included.
Hiring Locations
This role is fully remote, allowing candidates from India and other regions to apply. However, selected candidates must ensure a minimum overlap of four working hours with the Pacific Standard Time (PST) zone, as collaboration with US-based teams is required.
How to Apply
Interested candidates can apply online through Turing’s official hiring platform. The evaluation process takes approximately 75 minutes and includes:
- A 60-minute technical interview
- A 15-minute cultural fit and offer discussion round
Turing Apply Link :  Click here
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Note: Shortlisted candidates can expect the contract to start as early as next week, with an initial duration of one month.
About the Company
Turing is one of the world’s fastest-growing AI companies, known for accelerating the advancement and deployment of powerful artificial intelligence systems. The company collaborates closely with some of the world’s leading AI research labs to push the boundaries of frontier models in areas such as reasoning, coding, agent-based systems, multimodality, multilingual intelligence, STEM knowledge, and advanced problem-solving.
In addition to research partnerships, Turing applies this cutting-edge work to build practical AI solutions that address mission-critical challenges for businesses. By bridging the gap between AI research and real-world applications, Turing has positioned itself as a global leader in AI innovation.
