Engineering Manager-Brazil

Cerebras; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading AI research accelerator is seeking a hands-on Engineering Manager in Brazil to oversee coding data annotation and validation for Large Language Models (LLMs). This position requires a strong background in Python and experience in leading engineering teams. You will be responsible for ensuring quality and execution of workflows, while also being involved in hands-on coding and debugging. The role offers competitive compensation and a collaborative work culture.

Serviços

Competitive compensation

Flexible working hours

Supportive work environment

Qualificações

• 7+ years hands-on software engineering experience.
• Experience leading engineering teams while remaining hands-on.
• Ability to architect and deliver end-to-end systems for coding annotation workflows.

Responsabilidades

• Own end-to-end delivery of coding data generation workstreams.
• Lead client-facing execution and manage requirements.
• Architect and run automation and execution environments.

Conhecimentos

Python

JavaScript

TypeScript

Coding Standards

Debugging

Ferramentas

React

Next.js

GYM

Descrição da oferta de emprego

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high‑quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission‑critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

Role Overview

We are seeking a hands‑on Engineering Manager to lead coding data annotation and validation workstreams that support the training and evaluation of Large Language Models (LLMs).

This role combines technical ownership, workflow execution, and people leadership. You will lead engineers and coding annotators while remaining actively involved in coding, system design, reviews, and quality enforcement.

Responsibilities

• Own end‑to‑end delivery of coding data generation and validation workstreams
• Lead client‑facing execution; manage requirements, expectations, and delivery outcomes
• Partner with internal stakeholders (Delivery, PM, Research) to drive execution and quality
• Architect and run automation, execution environments, and quality gates
• Review code for correctness, clarity, robustness
• Deliver SFT, RLHF, benchmarks, verifiers, and GYM systems (UI & non‑UI)
• Stay hands‑on in Python; use JS/TS or other languages as needed
• Identify and resolve quality, scale, or delivery risks via root‑cause fixes
• Lead engineers and annotators across defined workstreams
• Enforce coding standards, review processes, and quality frameworks
• Mentor team on code quality and debugging rigor
• Support hiring, onboarding, and ramp‑up
• Collaborate with tooling and infra teams on execution pipelines
• Communicate status, risks, and trade‑offs clearly to clients and stakeholders

Requirements

• 7+ years hands‑on software engineering experience
• Strong Python skills (JavaScript/TypeScript preferred; Java/C/C++ a plus)
• Experience leading engineering/coding teams while staying hands‑on
• Ownership of code quality, reviews, and debugging
• Experience with competitive programming, multi‑language code analysis, or system‑level debugging
• Exposure to backend services, databases, automation workflows, or execution pipelines
• Experience with React/Next.js or GYM (UI/non‑UI) systems
• Ability to architect and deliver end‑to‑end systems for coding annotation or LLM data workflows
• AI‑forward mindset; personal AI projects or GitHub contributions are a plus

Values:

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
• We work at Start‑Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
• We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing:

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.