G2i - Senior/Staff Software Engineer | AI Task Creation

Worldwide | Nov. 11, 2026

Report as Closed

Company: Silver.dev

Country: Worldwide

Type: Remote

Employment: Full-time

Description:

From Silver.dev

We are helping G2i get trainers and task creators for AI labs, which include OpenAI and SpaceX.

Tasks are units of work to train models and payment is made per task effectively completed. Tasks take 1-2 days to complete, and the most effective task creators complete more than 30 tasks monthly.

The work is async and you can handle it on your own time, but it does require several hours of work and onboarding. Pay attention to the G2i instructions. You can apply directly with them at this link, or apply on our platform and we will handle your application.

You can hear Gabriel Greenberg directly about the work in the following Loom:

About the role

G2i is hiring senior and staff-level software engineers to build the coding tasks a frontier AI lab uses to train its models. Each completed task pays $1,000 USD.

Most AI training work is annotation: engineers pick up a task someone else wrote and evaluate it. This role is one step earlier. You design and build the tasks themselves, which takes a different skill set from typical product engineering.

What you'll do

• Design and build realistic, challenging software engineering tasks that frontier models will be trained and evaluated on
• Write tasks across codebases of very different sizes, from a few files to large multi-service projects
• Work mainly in TypeScript, Python and Go
• Review your tasks based on feedback from G2i reviewers and team leads until they meet the lab’s quality bar
• Work mostly on your own, with support from reviewers and a shared engineer channel

Who we’re looking for

We’re hiring two kinds of engineers. Both are welcome to apply.

1. Engineers who have built AI training tasks before (top priority). You’ve designed and built tasks or environments for training models at a frontier lab or a data lab. Contractor experience counts. What matters is that you built tasks, not only annotated, reviewed or evaluated tasks someone else wrote.
2. Very strong senior, staff or principal engineers who haven't done this yet. You have deep, hands-on skill in TypeScript, Python and/or Go, and you learn new kinds of work fast. You may need a few extra days in training to learn the format, and that's expected.

For both profiles:

• Senior to principal-level engineering experience
• Strong code reading and writing skills, without relying on AI tools
• Clear written English, since tasks and reviewer feedback are written

Pay

You’re paid per completed task, not by the hour.

• Training project: if you pass, you’re paid $600 USD and join the core team.
• Each completed task after training: $1,000 USD

Based on early internal data, top performers finish 1 to 2 tasks a day, mid-level performers about 1 every other day, and others 1 to 2 a week. A task usually takes 4 to 10 hours.

If you don't pass the training, it doesn't count against you for other G2i AI projects. Those may open to you separately.

Hiring process

There are no live technical interviews. The steps are:

1. Apply through the link below.
2. Take-home assessment. It’s designed to take about 90 minutes. Taking 4 to 6 hours is fine and won't lower your score, because quality matters more than speed. It doesn't expire, but the sooner you finish it, the sooner you can start.
3. Background check. This usually takes 24 to 48 hours in the US and Canada. In some countries it can take more.
4. Offer. It’s usually sent within a day after your background check clears.
5. Training project. You build one task with guidance from reviewers and team leads. You have up to 7 days. Engineers who have built tasks before often finish in 1 to 2. If you pass, you're paid $600 and join the core team. If you don't, you're out of this project, and it's unpaid.

Hours and contract

• Contract: independent contractor, fully remote. Either side can end it at any time.
• Hours: 40 a week is ideal. Part-time is welcome: 20 a week is preferred, and 10 is the minimum.
• Schedule: flexible. You can work any day of the week, and some overlap with North American time zones is preferred.
• Keep your current job: you don't need to leave a full-time role to join part-time.

• Apply here:

  Web: Apply here

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