Software Engineer (LATAM) - 20631

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Role : Software Engineer (LATAM)

Location: Remote (GLOBAL)

Hours: Full-Time (US EST/Pacific Time overlap required)

Compensation: $7,500 – $11,000 USD 

About the Company: 

My client is a small, post-Series A AI company building the training data and evaluation infrastructure frontier AI labs use to improve their models, partnering with leading labs to design high-signal datasets and rigorous evaluations beyond static benchmarks. It's a lean, early team where individual contributors have direct, outsized impact on how the next generation of models learns.

Our culture blends the intellectual rigor of top quant shops with the speed and ownership of an early-stage startup experiencing hockey-stick growth.

We are building the training data and evaluation infrastructure that frontier AI labs use to train and improve their next-generation models. Partnering directly with leading AI research labs, we design high-signal datasets and rigorous, dynamic evaluations that go far beyond static benchmarks.

As a Software Engineer, you will join a lean, high-velocity post-Series A team where individual contributors exercise direct, outsized impact. You will own end-to-end engineering initiatives across the stack, build platform infrastructure, and work directly with frontier labs—getting a firsthand look at model capabilities months before they hit the market.

Our culture blends the intellectual rigor of top quant shops with the speed and ownership of an early-stage startup experiencing hockey-stick growth.

• →End-to-End Ownership: Design, build, and scale core systems from day one, spanning full-stack features and platform infrastructure.
• →AI Evaluation Systems: Build and optimize human-in-the-loop platforms, complex annotator workflows, and dynamic evaluation suites.
• →Platform & Data Engineering: Architect scalable data pipelines, fraud detection mechanisms, and backend infrastructure capable of handling large-scale evaluation loads.
• →Frontier Lab Collaboration: Work directly with technical stakeholders at partner AI labs to design and deploy custom evaluation frameworks.
• →Technical Decision-Making: Make swift, high-judgment trade-offs between delivery speed and system reliability in a fast-paced environment.

• Core Stack Proficiency: Strong production experience in Node.js/TypeScript, Python, and/or Go.
• Distributed Systems & System Design: Deep understanding of distributed architecture, API design, high-throughput systems, and NoSQL databases.
• Cloud & Infrastructure: Hands-on experience with AWS or GCP, containerization, and orchestration using Kubernetes.
• Proven Builder Instincts: An active GitHub profile (or equivalent portfolio) demonstrating real-world project ownership and builder capabilities.
• Autonomy & Accountability: High agency, strong self-direction, and a proven track record of taking complex projects from 0 to 1 without hand-holding.
• Communication & Mindset: Clear verbal and written communication skills, along with a genuine conviction about the trajectory of frontier AI and startup culture.

• Prior experience as a Founding Engineer or Technical Founder.
• Track record of thriving in high-growth, early-stage startup environments backed by strong references.
• Familiarity with LLM evaluation paradigms, data annotation pipelines, or RLHF workflows.