AI Data Programs Lead for Software Engineering

OpenTrain AI, Inc.; United States; Remote; USD 9,919,000 - 14,878,000; Part time

Job summary

OpenTrain AI, Inc. seeks a part-time program leader to build and run production systems for AI training programs. You will guide workflows, capacity planning, and quality controls across large contributor networks, while communicating progress and risks to AI research customers.

The role emphasizes turning research goals into actionable tasks, managing distributed teams, and delivering reliable delivery systems for datasets, benchmarks, and evaluations.

Qualifications

• Experience leading complex, multi-stakeholder software engineering programs.
• Ability to identify bottlenecks, define metrics, and drive improvements.
• Strong communication skills with customers and stakeholders.

Responsibilities

• Design contributor workflows, review systems, capacity plans, quality controls, and reusable operating playbooks.
• Build team-lead and reviewer systems for programs with 100 to 1,000+ contributors.
• Find bottlenecks, analyze datasets for systematic errors, and fix root causes through clearer instructions and incentives.
• Turn research goals into task specifications and challenge requirements for signals.
• Use Python, SQL, or similar tools for quality sampling, throughput reporting, and operational reviews.
• Communicate quality trends, risks, progress, and recovery plans to AI research customers.

Skills

Program leadership

Quality controls

Risk management

Data analysis

Cross-functional leadership

Customer communication

Tools

Python

SQL

TypeScript

Java

Go

Job description

OpenTrain AI, Inc. seeks a part-time program leader to build and run production systems for AI training programs. You will guide workflows, capacity planning, and quality controls across large contributor networks, while communicating progress and risks to AI research customers.

The role emphasizes turning research goals into actionable tasks, managing distributed teams, and delivering reliable delivery systems for datasets, benchmarks, and evaluations.