AI training contract
Senior Backend Engineer
Software Engineering · Advertised USD 50-100 an hour. · 10 openings
Senior Backend Engineer is contract work for micro1, reviewing and correcting what AI models produce in software engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. micro1 advertises USD 50 to USD 100 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. This listing names no country of its own. Check on micro1's page before you count on being eligible.
micro1 lists 10 openings on this role.
Skills named: C++, Python, Rust, GoLang, JAVA, JavaScript, DevOps.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Senior Backend Engineer Role Type: Contractor (20 hrs perweek) Location : Remote micro1 is engaging Senior Backend Engineers to participate in an advanced project for a customer, focused on creating sophisticated Reinforcement Learning Environments for AI model training and evaluation. 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 create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants. Scope of Work Design, develop, and implement realistic cloud infrastructure environments to evaluate AI model proficiency in systems design, deployment, and troubleshooting. Create detailed and reproducible scenarios involving distributed systems, networking, Identity and Access Management (IAM), message queues, persistent storage, observability, rolling deployments, and disaster recovery. Develop deterministic validation tests and golden reference solutions to ensure the reliability and accuracy of reinforcement learning environments. Produce intentionally defective variants and failure scenarios to rigorously test AI model responses and recovery strategies. Document the architecture, edge cases, and operational flows for all developed environments, ensuring clarity and reproducibility for future use. Collaborate with technical leads and project participants to iteratively refine environment specifications and acceptance criteria. Apply DevOps and infrastructure automation practices to deliver scalable, secure, and maintainable solutions for cloud-based systems evaluation. Preferred Qualifications Proven expertise with backend programming languages, such as C++, Python, Rust, GoLang, JAVA, or JavaScript. Strong practical experience with DevOps, cloud infrastructure, CI/CD pipelines, and automation tools. Demonstrated ability to architect, scale, and secure distributed systems in production-grade environments. Deep understanding of networking, IAM, queues, durable storage, and disaster recovery concepts. Process: Apply to the role, filling out the screening questions Complete AI interview (aprox. 30 minutes), reviewed by recruiters) Hiring Manager review 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.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.