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Strategic Projects Lead – AI Data Quality & Scientific Datasets

Spectrum Search • United State
Visa Sponsorship
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Lead high-impact AI dataset projects by defining quality standards, designing technical specifications, and managing cross-functional teams. Bridge scientific expertise with AI model development to improve data accuracy and reliability. Requires advanced STEM background, quantitative research experience, and hands-on project ownership.

Key Highlights
Own end-to-end AI dataset projects from design to delivery with full technical and operational leadership
Establish rigorous quality frameworks for complex scientific/quantitative datasets used in LLM training
Collaborate with research, engineering, and operations teams to shape AI evaluation methodologies
Key Responsibilities
Define and enforce quality standards for specialized scientific/quantitative AI datasets
Design dataset specifications, evaluation criteria, and quality control methodologies
Lead cross-functional teams of specialist contributors across technical projects
Analyze data quality issues and implement scalable improvements for AI training/evaluation
Collaborate with research, engineering, and operations teams on technical requirements
Technical Skills Required
Python Scientific Research Project Management
Benefits & Perks
Visa sponsorship (H-1B/OPT eligible)
Office-based in San Francisco Bay Area (5 days/week)
Full-time permanent position
Nice to Have
Experience with AI training data, human-generated datasets, or annotation workflows
Familiarity with LLM training, fine-tuning, or model benchmarking
Prior role building quality assurance processes or leading technical teams

Job Description

Spectrum Search is partnered with a well-backed AI technology company seeking a Strategic Projects Lead to bring scientific and quantitative expertise into the development of high-quality datasets for advanced artificial intelligence systems.

This opportunity combines deep technical research, AI data quality, project ownership and operational leadership. It is suited to a STEM specialist looking to apply their expertise beyond traditional research environments.

About the opportunity

The company operates within the AI research and data infrastructure sector, supporting the development, training and evaluation of advanced machine learning models.

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