Senior Systems & Hardware Experts - AI Benchmarking

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.

Job description

Bring your expertise to the problems today’s most advanced AI agents still struggle to solve.

We’re looking for experienced systems engineering or hardware engineering professionals to develop challenging tasks for an AI benchmark. You’ll draw on problems from your own field and turn them into clearly defined challenges that an AI agent must solve from scratch in a Linux terminal.

What you’ll do

• Identify difficult, meaningful problems in your area of expertise.
• Translate those problems into tasks that can be solved in a Linux terminal.
• Design challenges that expose limitations in advanced AI agents. Each task is tested against three leading models, with three attempts per model, and must prove difficult enough that the models mostly fail.

Who we’re looking for

• At least 9 years of relevant professional experience in systems engineering or hardware engineering. Relevant systems work includes DevOps, site reliability engineering (SRE), cloud engineering, platform engineering, infrastructure engineering or distributed systems.
• A completed bachelor’s degree or higher.
• Applicants must have completed their degrees and must not currently be enrolled in a degree program.
• At least one academic or professional publication.
• Practical comfort working in a Linux terminal.
• Current residence in Argentina, Mexico, Puerto Rico, New Zealand, Canada, the United Kingdom, the United States, Australia, Peru, Colombia, Austria, Ireland, Spain, Luxembourg, Italy, France, Germany, Belgium, the Netherlands, Sweden, Finland, Singapore, Denmark, Norway and Switzerland.

Project details

• Task-based project expected to run for the next few weeks.
• Onboarding includes two courses and a graded assessment, taking approximately 90 minutes.
• A live onboarding webinar is also required before moving to tasking.

Compensation

Earn up to $1,350 per task, with opportunities for higher rates based on task quality and submission volume. Tasks take six to seven hours on average, although initial tasks may take longer as you get familiar with the process.