Senior Software Engineer

micro1

LocationRemote — anywhere in the US

Team time zoneUTC-5Stated by the employer

TypeContract

PostedSeptember 3, 2026

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How this fits your working day

The team works UTC-5. Assuming a 9am–5pm day on their clock, this is what a normal day looks like from each US zone.

Your zone	Shared hours	Your hours	Verdict
Eastern	8h	9:00 AM – 5:00 PM	Full overlap
Central	7h	8:00 AM – 4:00 PM	Full overlap
Mountain	6h	7:00 AM – 3:00 PM	Strong overlap
Pacific	5h	6:00 AM – 2:00 PM	Strong overlap

Standard time; most states shift an hour between March and November.How we calculate overlap.

About this role

Job Title: Senior Software Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote (Globally)

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 workflows. These workflows are similar in scope to common DevOps | CI/CD | Debugging workflows using common cli tools such as git, docker, gdb, asan, ffmpeg and many more. Your task will be to create reproducible rl environments that test a model's ability to solve these workflows along with a golden reference solution.

Required Skills and Qualifications:

Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
Deep understanding of algorithms, data structures, and performance tuning.
Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
Strong background in feature development and codebase refactoring.
Proven ability to optimize software for performance and scalability.
Exceptional written and verbal communication skills, with a keen attention to detail.
Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications:

Previous experience working on large-scale, distributed codebases.
Familiarity with modern AI or machine learning systems is a plus, though not required.
Background in participating in rigorous code reviews and contributing to the development of software best practices.

Process:

Apply to the role, filling out the screening questions
Complete AI interview (aprox. 30 minutes)
Technical Assessment (Tentative)
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.

Originally posted on Himalayas