Java architect • frisco tx
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
Location – Frisco TX (3-4 days week) Key Skills – Snowflake, Databricks, Azure, DB Architecture Required Qualifications: Master’s in Computer Science or a related field.Plus if expereinced in AWS a... Show more
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
A leading global technology organization is seeking Data Architects to join their team in Frisco, TX (Full-Time/Direct Hire).This position focuses on building and leading modern data solutions usin... Show more
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Water/Wastewater Project Manager.With a company built on familyby familyit's no surprise that working here is so much more than just putting on a hard hat and work boots.At Crossland, you join a gr... Show more
Java Architect Job Duties: Achieves e-commerce information architecture operational obj... Show more
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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The average salary range is between $ 132,500 and $ 185,000 year , with the average salary hovering around $ 150,000 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: Senior Software Engineer
Job Type: Contractor (~15 hrs a week)
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.
Required Skills and Qualifications:
Preferred Qualifications:
Process:
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.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
