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
We are seeking an experienced Technical Program Manager (TPM) to oversee end-to-end program management for AI/LLM training initiatives, large-scale dataset creation efforts, and cross-functional operations with our global data partners. This role requires a strong technical foundation, exceptional stakeholder management skills, and an ability to drive complex, multi-team programs to success.
You will work closely with data scientists, ML engineers, annotation teams, QA specialists, and external partners to ensure projects are delivered with consistent quality, on time, and within scope.
Key ResponsibilitiesProgram Planning & Execution- Lead strategic planning, execution, and delivery of AI/LLM training programs and dataset creation projects.
- Define program scope, milestones, KPIs, and timelines; manage risks, resource needs, and dependencies.
- Build and maintain program dashboards, progress reports, and documentation for internal and external partners.
- Collaborate with data labs, engineering, research, annotation, QA, and vendor teams to align goals and drive execution.
- Manage communication across technical and non-technical stakeholders, ensuring clarity and accountability.
- Facilitate sprint planning, standups, and operational reviews for multi-stream program teams.
- Implement scalable processes for data quality oversight, annotation workflows, and model training pipelines.
- Monitor dataset quality metrics and coordinate issue resolution with labeling and QA teams.
- Drive continuous improvement initiatives across tools, workflows, compliance, and documentation.
- Understand data schemas, ML model training needs, labeling guidelines, and evaluation frameworks.
- Work with technical teams to surface requirements, solve bottlenecks, and optimize program workflows.
- Support integration of internal tools, automation, and AI-assisted labeling systems.
- Act as the primary program point of contact for global data lab clients.
- Manage vendor relationships, SLAs, compliance, and delivery expectations.
- Prepare and lead client reviews, performance assessments, and strategic planning discussions.
- 5+ years of program or project management experience, preferably in AI, ML, data operations, or large-scale tech programs.
- Strong understanding of AI/ML concepts (LLMs, dataset creation, labeling pipelines, data quality, model evaluation).
- Proven experience delivering multi-phase technical programs with cross-functional global teams.
- Excellent communication, stakeholder management, and problem-solving skills.
- Experience with project management tools (e.g., Jira, Asana, Notion) and data/documentation systems.
- Ability to manage ambiguity, operate independently, and drive outcomes in fast-paced environments.
- Experience working with data annotation vendors, research labs, or ML ops teams.
- Familiarity with prompt engineering, RLHF, supervised fine-tuning (SFT), or evaluation dataset creation.
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 AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
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.
Skills Required
- 5+ years program or project management experience, preferably in AI/ML, data operations, or large-scale tech programs.
- Strong understanding of AI/ML concepts (LLMs, dataset creation, labeling pipelines, data quality, model evaluation).
- Proven experience delivering multi-phase technical programs with cross-functional global teams.
- Excellent communication, stakeholder management, and problem-solving skills.
- Experience with project management tools (e.g., Jira, Asana, Notion) and data/documentation systems.
- Ability to manage ambiguity, operate independently, and drive outcomes in fast-paced environments.
- Experience working with data annotation vendors, research labs, or MLOps teams.
- Familiarity with prompt engineering, RLHF, supervised fine-tuning (SFT), or evaluation dataset creation.
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
-
Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
-
Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
-
Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
