Primary record

AI Strategy Consultant, Frontier Tech

Scale AI Indexed employerSan Francisco, CA · Remote (Growth only)
Source-hosted applyChecked 2h agoPart-Time
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Workplace

remote

Employment

Part-Time

Published

Aug 11, 2026

Closes

No date supplied

The role

As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence.

In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.

The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills. We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes. If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.

You will be responsible for:

• Design and execute research experiments

• Build and evaluate frontier LLM datasets

• Develop training and testing material for frontier pipelines

• Improve quality of existing and new products

Ideally you’d have:

• Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated

• Strong writing and verbal communication skills

• An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results

• Analytical, planning, and process improvement capability

• Experience working in a fast-paced, entrepreneurial environment

• Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL

Pay: $60

Requirements

Department: Growth