Remote Data Scientist

Turing, headquartered in San Francisco, California, is a leading research accelerator for frontier AI laboratories and a trusted partner for global enterprises deploying advanced AI systems. The company supports its customers by accelerating cutting-edge research through high-quality data, sophisticated training pipelines, and top AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents. Additionally, Turing helps enterprises transition AI from proof of concept to proprietary intelligence by delivering reliable systems that generate measurable impact and drive lasting business results.

We are seeking experienced Software Engineers with a focus on Data Engineering and Data Science to join our SWE Bench team. This role involves working on benchmark-driven evaluation projects that utilize real-world data engineering and data science workflows. The successful candidate will engage hands-on with production-like datasets, data pipelines, and data science tasks to evaluate and enhance the performance of advanced AI systems. Candidates should have a strong foundation in data engineering and data science, capable of managing data preparation, analysis, and model-related workflows within complex, real-world codebases.

Key Responsibilities:
- Work with both structured and unstructured datasets to support SWE Bench-style evaluation tasks.
- Design, build, and validate data pipelines integral to benchmarking and evaluation workflows.
- Perform data processing, analysis, feature preparation, and validation for various data science use cases.
- Write, run, and modify Python code to process data and support local experiments.
- Evaluate data quality, transformations, and outputs to ensure correctness and reproducibility.
- Develop clean, well-documented, and reusable data workflows suitable for benchmarking purposes.
- Participate in code reviews to maintain high standards of code quality and maintainability.
- Collaborate closely with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.

Required Qualifications:
- Minimum of 3 years of professional experience as a Data Engineer, Data Scientist, or Software Engineer with a data focus.
- Strong proficiency in Python for data engineering and data science workflows.
- Proven experience in data processing, analysis, and model-related workflows.
- Solid understanding of machine learning and fundamental data science concepts.
- Experience working with both structured and unstructured data formats.
- Ability to understand, navigate, and modify complex, real-world codebases.
- Demonstrated ability to write readable, reusable, maintainable, and well-documented code.
- Strong problem-solving skills, particularly with algorithmic or data-intensive challenges.
- Excellent spoken and written English communication skills.

Preferred Qualifications and Benefits:
- Fully remote work environment, offering flexibility and work-life balance.
- Opportunity to contribute to cutting-edge AI projects alongside leading companies specializing in large language models (LLMs).
- Contractor engagement requiring a minimum commitment of 4 hours per day and 20 hours per week, with at least 4 hours overlapping with Pacific Standard Time (PST).
- Initial contract duration of 3 months, with potential adjustments based on ongoing engagement.
- Note: This is a contractor role and does not include medical benefits or paid leave.

Evaluation Process:
Candidates will undergo a technical interview that includes a live coding challenge lasting approximately 60 minutes.

This role offers a unique opportunity to work at the forefront of AI research and development, contributing to impactful projects that shape the future of artificial intelligence.