Vetted senior and staff engineers build the RL environments, evaluations and human data that AI labs train on.
Models are now graded on real software work. The people writing the tasks, environments and feedback have to be engineers who have shipped it.
Real software workflows turned into evals, tasks, rubrics and training environments.
Environments built from real repositories, with tool use, scoring and reference solutions.
Every engineer is vetted on a real codebase by a staff engineer and background-checked before they start.
Senior engineering teams for environments, evaluations, human feedback and training data. Delivered in your format and your harness.
Containerized environments from real repositories, each with setup, a failing-to-passing test suite and a reference solution.
Sandboxed MCP servers for third-party APIs, seeded state, and graders on the agent's tool calls.
Benchmark-style tasks with grading logic and rubrics, built to the distribution your research team sets.
Comparisons and ratings from engineers who can tell good code from code that only passes, with a rationale on every label.
Task, trajectory and rubric data for agentic coding, written by engineers who complete the task themselves.
Review of task sets you already have, with reproduction and solvability checks on every item.
Trusted by top-tier AI labs
“We're building complex RL environments and constantly need very experienced engineers. DevSignal has been a reliable partner, and they deliver them quickly.”
Special Project Lead, Human Data
Built from real repositories, with realistic tasks, repeatable scoring and a verified reference solution, so the reward signal means what you think it means.
Talk about environments →Backend, infrastructure, frontend, mobile, data and ML engineers. We match seniority and domain to each task, so the people writing it have done the work themselves.
Meet the bench →Every item is reviewed by a second senior engineer against the rubric and sent back until it holds up, so quality improves as volume grows.
How we review →Start with a sample from our engineers, or tell us what you're training.
Anything else, email hello@devsignal.com. We reply within a day.
RL environments, including MCP tool-use environments, evaluation tasks and rubrics, RLHF and preference data, SFT and trajectory data, and QA of task sets you already have.
Yes. Request a sample and we'll send work from our engineers that matches the kind of data you're training on.
Senior and staff engineers from our vetted bench, matched to the domain of each task. Every one has passed a technical interview run by staff engineers.
Every item is reviewed by a second senior engineer against the rubric and sent back until it holds up, with reproduction and solvability checks before it ships.
You do. Everything is delivered under a work-for-hire agreement, and every engineer is background-checked before they start.
Vetted by Diego