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, delivering reliable systems that generate measurable business impact and drive lasting 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 position requires hands-on experience with production-like datasets, data pipelines, and data science tasks to evaluate and enhance the performance of advanced AI systems. The ideal candidate will have strong foundations in data engineering and data science, capable of handling data preparation, analysis, and model-related workflows within complex, real-world codebases.

Key Responsibilities:
- Work with both structured and unstructured datasets to support evaluation tasks modeled after SWE Bench standards.
- Design, build, and validate data pipelines integral to benchmarking and evaluation workflows.
- Perform data processing, feature preparation, analysis, and validation for various data science use cases.
- Write, execute, and modify Python code to process data and support local experiments.
- Assess data quality, transformations, and output correctness to ensure reproducibility.
- Develop clean, well-documented, and reusable data workflows suitable for benchmarking purposes.
- Participate actively 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 aimed at improving 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, particularly for data engineering and data science workflows.
- Proven experience in data processing, analysis, and working with model-related workflows.
- Solid understanding of machine learning and fundamental data science concepts.
- Experience handling both structured and unstructured data formats.
- Ability to comprehend, navigate, and modify complex, real-world codebases effectively.
- Demonstrated ability to write readable, reusable, maintainable, and well-documented code.
- Strong problem-solving skills, particularly with algorithmic or data-intensive challenges.
- Excellent verbal and written communication skills in English.

Preferred Qualifications and Benefits:
- Opportunity to work remotely in a fully flexible environment.
- Engage with 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 engagement.
- Note that this is a contractor role without medical or paid leave benefits.

Evaluation Process:
Candidates will undergo a technical interview that includes a 60-minute live coding challenge to assess relevant skills and problem-solving abilities.

This role offers a unique opportunity to contribute to frontier AI research and enterprise AI transformation projects while working in a dynamic and innovative environment.