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Strategic Project Lead, Software Engineering

Training Superintelligence· Frontier Data Operations
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Hybrid (New York, NY), Hybrid (San Francisco, CA), Hybrid (Seattle, WA)$120k - $200kfull-timePosted 2mo ago

About the role

Lead the production system for Turing’s software-engineering data programs, coordinating large-scale, multi-stakeholder projects to deliver high-quality technical work at scale across distributed contributors, with a strong emphasis on process optimization, quality ownership, and customer relationships.

Responsibilities

  • Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality.
  • Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets.
  • Run daily “war room” syncs to stay ahead of issues before they reach the customer.
  • Act as the primary point of contact for researchers and program managers at frontier AI labs.
  • Deliver clear, consistent reporting and proactively anticipate client needs.
  • Build long-term trust to convert projects into multi-year partnerships and identify expansion opportunities.
  • Source, vet, onboard, train, and performance-manage domain experts across distributed workspaces.
  • Maintain high execution standards from annotation through review through delivery.
  • Design motivation and performance systems — including gamification — to keep large contributor pools engaged and productive.
  • Own quality control across the annotation lifecycle: set the bar, measure against it, and close gaps.
  • Analyze datasets to identify trends, anomalies, and root causes, then implement improvements.
  • Implement and continuously improve annotation, evaluation, and curation best practices.
  • Stay ahead of emerging practices in AI data operations and apply them proactively.
  • Champion workflow changes that reduce task completion times and improve cost efficiency.
  • Maintain scalable documentation to preserve improvements beyond any single project.
  • Document onboarding scripts, quality benchmarks, contributor management frameworks, and escalation patterns.
  • Own your domain’s section of the SPL knowledge base.
  • Mentor the next hire and codify playbooks to enable scaling.

Qualifications

  • Background in consulting, finance, startups, or other operationally intense environments with a track record of managing complex, multi-stakeholder projects.
  • Strong analytical and communication abilities to diagnose bottlenecks, build measurement plans, and articulate fixes clearly to demanding clients.
  • Customer-facing experience with high-profile clients, managing expectations and building long-term relationships.
  • Passion for process optimization and large-scale execution; thrives on making complex operations faster, cleaner, and more reliable.

Skills

Required:Project managementClient relationship management

Benefits

  • Competitive compensation with base salary and target total compensation (includes salary, variable, and equity).
  • Opportunity to work directly with leading AI labs and influence how frontier models are trained and evaluated.
  • High ownership and visibility, with influence and direct interaction with senior leadership.
  • Direct collaboration with researchers building the future of AI.
Last updated Sep 2, 2026. Interested? Apply on the company site.

About Training Superintelligence

Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.

Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
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