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 a Strategic Project Lead to own end-to-end delivery and growth for audio and multimodal AI initiatives. This is a client-facing, builder role at the forefront of AI — spanning audio, speech, language, and multimodal systems. The scope includes both commercial and technical ownership. You’ll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams.
Success in this role requires the ability to navigate early-stage problem spaces, build trust with technical stakeholders, and consistently deliver outcomes in complex, evolving environments.
We are looking for a strategic thinker with strong Audio AI data annotation experience who can translate loosely defined technical objectives into executable programs and grow relationships by consistently delivering value in complex, evolving environments.
Primary Responsibilities1. Delivery Ownership & Client Partnership
- Own P&L, delivery outcomes, and client satisfaction for audio and multimodal engagements
- Lead client conversations and solutioning, translating ambiguous needs into structured programs
- Build strong relationships with enterprise and frontier AI lab partners
- Identify and drive account expansion opportunities, shaping early-stage ideas into commercial engagements
2. Delivery Systems & Scalable Execution
- Design and run high-performance delivery systems across audio and multimodal workflows
- Define metrics and leading indicators to proactively manage quality, speed, and cost
- Build reusable playbooks and frameworks to accelerate program launches
- Scale and structure global delivery teams, ensuring clear ownership and fast decision-making
3. Cross-Functional Influence & Strategic Alignment
- Align product, engineering, and operations around client priorities
- Drive execution in ambiguous, fast-changing environments
- Feed client and delivery insights into internal roadmap and capability building
4. Technical & Domain Leadership (Audio / Multimodal)
- Own and evolve Turing’s audio and speech capability across ASR, TTS, conversational audio, and multimodal systems
- Build new audio offerings — including data generation, evaluation frameworks, alignment workflows, and emerging agentic/audio use cases
- Partner with ML/research teams to define benchmarks and evaluation methodologies
- Translate advances in LLMs, speech, and multimodal AI into scalable, client-ready solutions
1. Core Experience
- Demonstrated experience in delivery management, program management, or technical operations — with exposure to AI/ML or data workflows
- Domain background and experience in audio/speech AI, ASR/TTS, NLP, or multimodal data annotation
- Familiarity with frontier AI lab workflows: model evaluation, RLHF, alignment, benchmarking. Knowledge of the latest multimodal AI technologies and how they can improve annotation pipelines
2. Problem Solving & Ownership
- Strong first-principles problem-solving ability; comfortable operating with ambiguity
- Proven ability to own and scale complex programs end-to-end
- High ownership mindset with bias for action
3. Communication & Execution
- Strong communication skills; able to engage technical and business stakeholders
- Ability to make trade-offs across quality, speed, and cost
- Strong analytical skills with experience using data to drive decisions
4. Other
- Comfortable working across global teams and time zones
- Location : Based out of US
- Salary: $200k - $250k
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
- Experience in delivery management or technical operations exposure to AI/ML
- Experience in audio/speech AI, ASR, TTS, NLP, multimodal data annotation
- Strong problem-solving ability; able to operate with ambiguity
- Strong communication skills; able to engage technical and business stakeholders
- Experience using data to drive decisions
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.
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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.
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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.
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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.
