Validation engineer • springfield il
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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Location: Springfield, Illinois area.Work type: Onsite / local hybrid with some flexibility.Schedule: 7:30 AM-4:00 PM or 8:00 AM-4:30 PM.Compensation: $85,000-$150,000+ base, depending on experienc... Show more
The average salary range is between $ 70,000 and $ 118,250 year , with the average salary hovering around $ 75,000 year .
The average salary range is between $ 85,008 and $ 146,340 year , with the average salary hovering around $ 104,994 year .
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Job Title: Software Engineering
Job Type: Contractor (10-15 hours per week)
Location: Remote
Job Summary:
We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.
On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.
Required Skills and Qualifications:
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
