Data Scientist- Remote

Website: hirenza.in
Job details:
About The Company

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two key ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, and top-tier AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence. The company’s systems are designed to perform reliably, deliver measurable impact, and generate lasting results on the profit and loss (P&L) statements of its clients. Turing’s innovative approach combines cutting-edge research with practical deployment, making it a leader in the AI industry and a catalyst for technological advancement worldwide.

About The Role

We are seeking experienced Software Engineers (SWE Bench - Data Engineer / Data Science) to join our dynamic team. This role involves contributing to benchmark-driven evaluation projects that focus on real-world data engineering and data science workflows. The ideal candidate will work hands-on with production-like datasets, designing and implementing data pipelines, performing data processing and analysis, and supporting evaluation tasks aimed at improving the performance of advanced AI systems. The position offers an excellent opportunity to engage with complex, real-world data challenges, collaborate with research and engineering teams, and contribute to the development of high-quality benchmarks that drive AI innovation.

Qualifications

The successful candidate should possess a minimum of 3+ years of experience as a Data Engineer, Data Scientist, or Software Engineer with a focus on data-related workflows. Proficiency in Python is essential, along with demonstrable experience in data processing, analysis, and model-related workflows. A strong understanding of machine learning fundamentals and data science principles is required. Experience working with both structured and unstructured data is crucial, as is the ability to navigate and modify complex, real-world codebases. Candidates must have a track record of writing readable, reusable, and well-documented code, complemented by strong problem-solving skills, especially in algorithmic or data-intensive problems. Excellent spoken and written English communication skills are also necessary to collaborate effectively with multidisciplinary teams.

Responsibilities

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks, ensuring data quality and relevance.
• Design, develop, and validate data pipelines used in benchmarking and evaluation workflows to facilitate accurate and reproducible results.
• Perform comprehensive data processing, analysis, feature engineering, and validation activities to support data science initiatives.
• Write, modify, and run Python scripts to process data, support experiments, and automate workflows locally and in production environments.
• Evaluate data quality, transformations, and outputs to ensure correctness, consistency, and reproducibility across projects.
• Create clean, well-documented, and reusable data workflows that can be integrated into benchmarking frameworks.
• Participate actively in code reviews, providing feedback to uphold high standards of code quality, maintainability, and efficiency.
• Collaborate closely with researchers and engineers to design and implement challenging, real-world data engineering and data science tasks for AI systems, fostering innovation and continuous improvement.
  
  

Benefits

Joining Turing as a freelancer provides the flexibility to work in a fully remote environment, allowing you to manage your work-life balance effectively. You will have the opportunity to work on cutting-edge AI projects with leading language model (LLM) companies, gaining exposure to some of the most innovative developments in artificial intelligence. The role offers the chance to enhance your skills, build a diverse portfolio, and collaborate with a global network of top-tier professionals. Additionally, Turing provides a flexible engagement model suited for professionals seeking meaningful project-based work without the constraints of traditional employment.

Equal Opportunity

Turing is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their unique perspectives. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. Our commitment is to ensure fair treatment and equal opportunities for all candidates and team members, promoting a culture of innovation, collaboration, and mutual respect.

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