Remote Data Scientist

Turing, headquartered in San Francisco, California, is a leading research accelerator dedicated to advancing frontier AI labs and supporting global enterprises in deploying sophisticated AI systems. The company accelerates cutting-edge research by providing high-quality data, advanced training pipelines, and access to top AI researchers with expertise in coding, reasoning, STEM, multilinguality, multimodality, and AI agents. Additionally, Turing helps enterprises transition AI initiatives from proof of concept to reliable, proprietary intelligence systems that deliver measurable business impact and sustained results.

Key Responsibilities:
- Work extensively with both structured and unstructured datasets to support benchmark-driven evaluation projects focused on real-world data engineering and data science workflows.
- Design, build, and validate robust data pipelines integral to benchmarking and evaluation processes.
- Conduct data processing, analysis, feature preparation, and validation to support various data science use cases.
- Develop, run, and refine Python code for data manipulation and experimental support in local environments.
- Assess data quality, transformations, and outputs to ensure accuracy, reproducibility, and reliability.
- Create clean, well-documented, and reusable data workflows tailored for benchmarking purposes.
- Participate actively in code reviews to uphold high standards of code quality and maintainability.
- Collaborate closely with researchers and engineers to design complex, real-world data engineering and data science challenges for AI systems.

Required Qualifications:
- A minimum of 3 years of professional experience as a Data Engineer, Data Scientist, or Software Engineer with a focus on data-centric projects.
- Strong proficiency in Python programming, 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 principles and fundamental data science concepts.
- Hands-on 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 analytical and problem-solving skills, including experience addressing algorithmic or data-intensive challenges.
- Excellent verbal and written communication skills in English.

Preferred Qualifications and Benefits:
- Opportunity to work fully remotely, providing flexibility and work-life balance.
- Engage with cutting-edge AI projects alongside leading companies specializing in large language models (LLMs).
- Contractor engagement requiring a commitment of at least 4 hours daily and a minimum of 20 hours weekly, with a 4-hour overlap aligned with Pacific Standard Time (PST).
- Initial contract duration of 3 months, with potential adjustments based on ongoing engagement.
- Please note 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 their practical skills and problem-solving capabilities.

This role is ideal for professionals passionate about advancing AI through rigorous data engineering and data science practices, eager to contribute to impactful projects in a dynamic, remote work environment.