Engineering Manager & Delivery Leader: Powering the Future of LLMs at Turing

The global artificial intelligence race is no longer just about raw computing power—it is about data quality, human reasoning representation, and architectural reliability. As enterprises shift from experimental proofs of concept to robust, revenue-generating intelligence, the demand for sophisticated engineering leadership has reached unprecedented heights.

Headquartered in San Francisco, California, Turing stands as the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises. Turing empowers customers by accelerating frontier research with high-quality data pipelines, advanced training frameworks, and top-tier AI researchers specializing in coding, reasoning, STEM, and multilinguality. For engineering managers seeking to anchor their careers at the bleeding edge of technology, Turing’s remote contractor opportunity as a Delivery Leader for LLM Training offers an unmatched platform.

About the Role & Core Responsibilities

As a Delivery Leader for Turing’s LLM Training business, your mandate is pivotal. You will manage large teams of software engineers and data scientists (20+ professionals) dedicated to performing complex Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks. Your leadership will directly ensure the delivery of superior datasets, achieving optimal outcomes across quality, throughput, and cost.

You Are a Fit If You Bring:

This engagement demands a rare blend of rigorous software engineering discipline, hands-on technical acumen, and exceptional people management skills. You will thrive in this role if you possess:

• 8+ years of professional software engineering experience.
• 3+ years in a formal engineering management role.
• Proven experience managing large technical teams in delivery-oriented roles with deep fluency in Python, Java, or JavaScript.
• A demonstrated ability to engage in hands-on technical work, isolating and resolving complex quality issues.
• Exceptional leadership, motivation, and communication skills for fostering a collaborative, high-performance remote culture.

Perks of Working with Turing

Joining Turing places you at the epicenter of the artificial intelligence boom. You will collaborate with elite global clients, lead brilliant technical minds, and enjoy professional growth within a dynamic, innovation-driven culture designed to help you make a lasting impact on the AI industry.

Engagement Details & Commitment

This is a 10-month remote contractor assignment (note: contractor positions do not include medical or paid leave). To ensure project momentum and flexibility, Turing offers three commitment tiers:

• Options: 20 hours/week, 30 hours/week, or 40 hours/week.
• Daily Requirement: At least 4 hours per day, with a mandatory 4-hour daily overlap with Pacific Standard Time (PST).

Interview Process & Onboarding Roadmap

Turing maintains a streamlined yet rigorous evaluation process (approximately 120 minutes total) designed to identify exceptional engineering leaders:

1. Technical Round (60 minutes): Evaluates your architectural depth, coding standards, and problem-solving framework.
2. Leadership Round (60 minutes): Focuses on team management, delivery execution, and stakeholder communication.

Ensuring Stability and Access to More Tasks: Once you successfully pass the evaluation and complete your initial onboarding, committing to your first 10 hours of work is critical. Completing these foundational hours ensures project stability, solidifies your standing within the platform, and opens the door to broader task access and long-term engagement growth.