---
title: 'Machine Learning Engineers: Scenario Building for Reinforcement Learning at Terac'
canonical: 'https://feeny.ai/job/machine-learning-engineers-scenario-building-for-reinforcement-learning-terac-53jwhqgf25tx'
type: 'job'
last_seen: '2026-09-05'
---

# Machine Learning Engineers: Scenario Building for Reinforcement Learning at Terac

- **Company:** Terac
- **Location:** United States
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/terac/9f8d7438-ffd8-42be-b169-a46437154c79

## Job description

## WHAT WE'RE RESEARCHING

We're hiring AI researchers and machine learning engineers to participate in building worlds within a reinforcement learning platform. This work directly influences how agents interact with complex, simulated environments during their training cycles. Your technical expertise will help us refine the tools and interfaces used to create robust testing scenarios.

## HOW IT WORKS

You will connect to our remote platform to design and construct specific scenarios for reinforcement learning agents. Throughout the session, you will configure environmental parameters, define spatial constraints, and run preliminary agent interactions to test your setup. You will document your workflow and note any friction points encountered while structuring the environment. Finally, you will participate in an interview to share your feedback on the platform's overall usability.

## WHO THIS IS FOR

This study targets professionals with hands-on experience in simulation design and reinforcement learning environments. We welcome machine learning engineers, AI researchers, simulation developers, and technical game designers accustomed to RL frameworks. Candidates should be highly comfortable configuring complex platform interfaces and defining structured agent scenarios.

## WHAT YOU'LL DO

- Design and build specific scenarios within a remote reinforcement learning platform
- Configure environmental parameters and define agent interaction rules
- Test initial agent behaviors to validate your scenario structure
- Walk us through your workflow and highlight areas for platform improvement

## WHO SHOULD APPLY

- Professional experience in machine learning or artificial intelligence research
- Hands-on background in building simulations or reinforcement learning environments
- Familiarity with configuring platform interfaces and defining reward structures
- Comfortable articulating technical feedback during a remote interview

## COMPENSATION

$90 per hour

READY TO PARTICIPATE?

Start your paid interview now https://terac.com/interview/start/r/8b2a6e81-53d0-408e-b498-8fc46a15fdee?utm_source=ashby_listing_description

## ABOUT TERAC

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.

## About Terac

## Company Overview
- **One-liner**: Terac is building the infrastructure and labor marketplace to connect AI agents and companies with verified human experts on demand.
- **Entity Type**: Private (Seed stage; raised $9M)
- **Headquarters**: San Francisco, California, USA (with hubs in Lisbon, Portugal and São Paulo, Brazil)
- **Founded**: 2025
- **Founders**: Zac Baker (Co-founder & CEO), Jack Blair (Co-founder & CTO)

## Core Business
- **Primary industry/industries**: Labor Marketplace / AI Infrastructure / Human-in-the-Loop Services
- **Target customers**: B2B; AI companies, frontier model labs, enterprises, and research teams that need to source, interview, verify, and pay human experts (e.g., doctors, engineers, lawyers) via API.
- **Mission or purpose statement**: "Build the labor marketplace for the post-AGI future" — to become the default interface between AI systems and human expertise.

## Products & Services
- **Terac Platform (Expert Labor MCP)**: An API-first marketplace that allows any team or AI agent to source, screen, interview, verify, and pay human experts on demand. It functions as a "supply layer for human labor," enabling use cases like sourcing 100 Solidity engineers for data labeling or interviewing 200 EU SMB owners about new regulations. The platform includes an AI moderator for screening and verification.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding — $9M raised.
- **Notable Investors/Partners**: Emergence Capital, SignalFire, Audacious Ventures, Z Fellows.
- **Growth Signals**: Founded in 2025, the company has rapidly grown to a team of ~22 people. It is building in a high-demand space (AI + human data/workforce) and has attracted top-tier investors. The company is actively hiring across 8+ roles in engineering, growth, operations, and marketing.

## Competitive Advantages
- **First-Mover in a Niche**: Focuses on the specific, emerging need for "post-AGI" human labor, positioning itself as infrastructure rather than just a gig platform.
- **Verified Expert Panel**: Curates a panel of verified experts (doctors, engineers, lawyers, etc.) with a built-in AI moderator for screening, differentiating it from general freelance marketplaces.
- **API-First & Agent-Native**: Designed for integration with AI agents and automated workflows, not just human users, making it a critical piece of AI infrastructure.
- **Strong Founding Team**: Backed by experienced founders and a small, high-caliber team (10 people in SF) focused on deep technical challenges (panel quality, voice moderation, marketplace dynamics).

## Strategic Focus
- **Scaling the Panel & Platform**: The immediate priority is to build out the supply side (expert panel) and the platform's capabilities (moderator, verification, agent tooling).
- **Deepening AI Integration**: Making the platform the "default interface" for any AI system that needs to call on human expertise.
- **Hiring Across Functions**: Aggressively hiring founding engineers, account executives, and marketing talent to scale the company from its current 22 people.

## Why Work Here
- **Ground-Floor Opportunity**: As a seed-stage company founded in 2025, early employees will have significant ownership and influence over the product and company culture.
- **Mission-Driven Work**: The company is tackling a "generational shift" in how labor is allocated, offering a compelling narrative for those interested in the future of AI and work.
- **Culture & Team**: Described as a "tight-knit crew in San Francisco that moves fast, sweats the details, and likes being around each other." The team includes engineers, operators, and storytellers.
- **Unique Hiring Process**: Features a paid, week-long work trial to ensure a mutual fit, with full transparency on company metrics (revenue, runway, growth) before an offer is accepted.
- **Compensation & Benefits**: Offers meaningful salary, early-stage equity, comprehensive health/dental/vision coverage, daily meals, relocation support, and team offsites.
- **Work Policy**: Remote-friendly with hubs in San Francisco, Lisbon, and São Paulo. Many roles are listed as San Francisco-based or hybrid.

## Sources
1. [terac.com - Careers](https://terac.com/careers)
2. [terac.com - About](https://terac.com/about)
3. [terac.com - Team](https://terac.com/team)
4. [terac.com - Homepage](https://terac.com/)
5. [terac.com - How We Hire](https://terac.com/blog/how-we-hire-at-terac)

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