Software Engineer – Python + Docker

Verita AI; United States; Remote; USD 61,000 - 76,000; Full time

Benefits offered by this job

Weekly payments

Fully remote

Short-term contract (2-3 weeks)

Job summary

Verita AI is seeking experienced backend software engineers for a fully remote, asynchronous contractor engagement. Each day you will complete one task focused on realistic software engineering workflows that help train and evaluate next-generation AI systems.

The compensation is $300 per completed task, with weekly payments and an immediate start for a 2–3 week engagement. Candidates should have 3+ years of backend development experience and strong Python, Docker, and Git skills.

Qualifications

• 3+ years of professional software engineering experience.
• Strong Python proficiency, including experience with FastAPI, Flask, or Django.
• Experience building and maintaining backend applications.
• Familiarity using Git, Docker, and modern development workflows.
• Daily proficiency with AI coding assistants such as Claude Code, Cursor, Codex, GitHub Copilot, or similar tools.

Responsibilities

• Complete one task per day focusing on realistic software engineering workflows for AI systems.
• Develop and maintain backend services using Python frameworks.
• Collaborate with distributed engineering teams while working asynchronously.

Skills

Backend development

Python

APIs

Distributed teams

AI coding assistants

Tools

Git

Docker

Job description

This is a fully remote, asynchronous contractor opportunity. Experts complete one task per day on average, with each task focused on realistic software engineering workflows that help train and evaluate next-generation AI systems.

COMPENSATION

• $300 per completed task

• One task completed per day

• Fully remote and asynchronous work

• Short-term contractor engagement with immediate start available

WHAT WE’R LOOKING FOR

We are seeking experienced backend software engineers with:

• 3+ years of professional software engineering experience

• Strong Python proficiency, including experience with FastAPI, Flask, or Django

• Experience building and maintaining backend applications

• Familiarity using Git, Docker, and modern development workflows

• Daily proficiency with AI coding assistants such as Claude Code, Cursor, Codex, GitHub Copilot, or similar tools

Strong candidates will also demonstrate:

• A solid understanding of software engineering best practices, including version control, testing, and code quality

• Excellent analytical and problem-solving skills with strong attention to detail

• The ability to work independently while collaborating effectively in distributed engineering teams

• Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

While not required, experience in any of the following is a plus:

• AI evaluation, benchmarking, or model assessment

• AI data creation or annotation workflows

• Building SaaS integrations or APIs

• Developing QA frameworks or evaluation methodologies

• Designing realistic, long-horizon software engineering tasks for AI systems

SELECTION CRITERIA

Candidates whose profiles are selected will complete a 90-minute technical screening focused on Python and Docker.

Participants who:

• Successfully pass the screening

• Join the study

• Complete at least one task

will receive a $100 onboarding bonusin addition to standard task compensation.

CONTRACT DETAILS

• Duration: 2-3 weeks

• Start Date: ASAP

Please Note

• A LinkedIn profile is required to participate. Please include your LinkedIn URL on your resume.

• Accepted candidates are free to work flexible hours but are expected to complete one task per day.

Verita engagements are remote and asynchronous, and Verita says they are paid weekly.