Remotely
machine learningsqlproject managementclient managementdata labelingairlhfsft
Job Description
📋 Description
- Lead AI training, evaluation, and data operations engagements end to end, from initial client
- Translate client objectives into clearly defined statements of work, task specifications, quality
- Configure projects across the data operations platform, including task forms, grading rubrics
- Partner with ML leadership to develop initial guidelines and gold-standard datasets, rigorously
- Own project quality, throughput, cost, and delivery timelines, monitoring performance against
- Coordinate annotator pools by managing assignments, qualifications, access, performance
🎯 Requirements
- 3+ years of professional experience in data labeling, RLHF, SFT, AI evaluation delivery, or closely
- Experience working at a data-labeling organization, AI lab, model-training operation, or comparable
- Strong operational mindset with the ability to investigate quality metrics, diagnose workflow or
- Demonstrated client-facing experience, with the ability to lead technical scoping discussions
- Strong analytical capabilities and comfort working with data; experience using SQL or Python is a
- Ability to manage several concurrent projects with different clients, quality requirements
🎁 Benefits
- Competitive total on-target compensation of $150,000–$240,000.
- Participation in a company stock buying program.
- Opportunity to help build and scale a new AI-focused business unit from the ground up.
- Direct exposure to senior and C-level leadership with significant opportunity to influence business
- Fast-track career growth opportunities toward operational and commercial leadership.
- Medical, dental, and vision insurance.
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