Handshake currently has 68 active AI-related job listings. The majority of these roles, 60%, are focused on data, with a further 15% in agents. Research and Engineering are the most frequent functions hiring for these positions. Recent hiring activity shows a significant increase, with 23 new AI roles posted in the last 30 days, representing a 92% rise compared to the preceding 30-day period.
Currently tracking 23 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Handshake currently has 65 active AI-related roles in our index. The most common open titles are: Music Producer - AI Trainer (2), Strategic Projects Lead, Coding (2), 3D Slicer Specialist - AI Trainer , AI Red Teamer, LLM Generalist, Analog Engineer - AI Trainer. Most positions are in Engineering and Research.
Handshake's active AI hiring is concentrated in: data (66%), agents (15%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Handshake is hiring AI talent in: United States (22 roles), India (4 roles).
Job postings at Handshake most frequently reference: evals, synthetic data, model serving, agent orchestration, llm observability.
In the past 30 days, Handshake has posted 10 new AI-related roles. That is a -57% change versus the prior 30 days (23 → 10).
| Title | Stage | AI score |
|---|---|---|
| Engineering Manager, RLE This role is for a Senior Software Engineer to build and scale a Reinforcement Learning Environments (RLE) platform. This platform simulates real-world workflows for AI models to learn, generating data for training and evaluation. The engineer will drive architecture, build plug-and-play domains, and ensure system reliability and quality, working closely with research, product, and operations teams. Strong applied AI experience is required. | DataEval Gate | 8 |
| Manager Strategic Projects India Manager for a team of Strategic Project Leads (SPLs) focused on AI data and evaluation projects. The role involves leading delivery, quality, and scalability, managing a team, translating needs into project plans, owning performance metrics, and partnering with Product and Engineering. The role operates in a high-pressure, fast-changing environment with a focus on operational excellence and continuous improvement in AI data pipelines and labeling workflows. |
| DataEval Gate |
| 8 |
| Senior Product Manager, RL Environments — Handshake AI Senior Product Manager to own the product surface that turns RL environment creation from a bespoke, weeks-long lift into a repeatable factory. This role will design and ship the platform that compresses lead time, replaces hand-built workflows with self-serve tooling, and lets a small team of operators turn out high-quality environments for any vertical. | DataEval Gate | 8 |
| Staff Software Engineer, RLE Staff Software Engineer to lead the architecture and evolution of Handshake's Reinforcement Learning Environments (RLE) platform, focusing on scalable systems, data pipelines, and enabling rapid domain creation for frontier AI models. This role involves technical leadership, system design, and cross-team collaboration to ensure reliability, observability, and performance. | DataEval Gate | 8 |
| Data Development, Principal This Principal Data Development role focuses on sourcing, negotiating, and closing data partnerships with companies and institutions to supply proprietary real-world data to frontier AI labs for training next-generation AI models. The role involves translating data requirements between AI labs and enterprise leaders, structuring commercial and compensation models, and managing senior stakeholder relationships. | Data | 7 |
| Strategic Projects Lead This role is responsible for owning the execution of large-scale human data programs that directly power frontier AI model training and evaluation. The role involves managing hundreds to thousands of expert Fellows, designing staffing models, and partnering with AI labs and senior stakeholders to deliver programs with significant ARR-equivalent impact. The ideal candidate has a technical background, strong analytical and problem-solving skills, and experience in technical or analytical roles. | Data | 7 |
| Strategic Projects Lead, Coding This role leads coding data initiatives for AI and platform teams, managing SWE Fellows, designing evaluation workflows, and ensuring delivery, margins, and quality. It involves writing coding assessments, building review processes, instrumenting quality signals, and adapting workflows. The role requires strong technical and analytical skills, with experience in coding, data quality, and stakeholder management, bridging ML/product/engineering and operations. | Data | 7 |
| Strategic Projects Lead, Coding This role involves leading coding data initiatives for AI and platform teams, coordinating SWE Fellows, designing and owning technical evaluation and annotation workflows, and ensuring delivery, margins, quality, and customer relationships. Responsibilities include writing and validating coding assessments, building rubric-driven code review processes, instrumenting quality signals, and adapting workflows. The role requires strong technical and analytical skills, coding proficiency, and stakeholder management. | Data | 7 |
| Software Engineer II, RLE Software Engineer to build and scale Reinforcement Learning Environments (RLE) platform, which are interactive systems for frontier AI models to learn real-world tasks. The role involves owning components end-to-end, designing backend systems and data pipelines, and improving system reliability and performance, supporting model training and evaluation. | DataEval Gate | 7 |
| Software Engineer I , Coding Pod Software Engineer on the Coding Pod will build data infrastructure and pipelines for frontier AI coding models, focusing on creating large-scale, high-quality benchmark datasets for evaluating model performance on coding tasks. This role involves owning end-to-end data pipelines, integrating with developer ecosystems, and working with evaluation systems and agentic coding tools. | DataEval Gate | 7 |
| Associate Software Engineer, RLE Associate Software Engineer to build Reinforcement Learning Environments (RLE) platform, including supporting infrastructure, backend systems, frontend interfaces, and data pipelines for model training and evaluation. The role involves creating modular workflow domains and working with senior engineers to improve system reliability and performance. | DataPost-train | 7 |
| Software Engineer I, RLE Software Engineer to build and scale the Reinforcement Learning Environments (RLE) platform, which involves designing and implementing backend systems, data pipelines, and modular workflow domains to support frontier AI model training and evaluation. The role requires experience in backend/distributed systems, ML-adjacent infrastructure, and cloud technologies. | DataEval Gate | 7 |
| Senior Software Engineer, RLE Senior Software Engineer to build and scale Reinforcement Learning Environments (RLE) platform, simulating real-world workflows for AI model training and evaluation. This role involves driving architecture for scalable systems and data generation pipelines, partnering with research and product teams, and ensuring system reliability and observability. | DataEval Gate | 7 |
| Manager, Strategic Projects Manager, Strategic Projects leading a team focused on AI data and evaluation work. Responsibilities include managing SPLs, driving project delivery (data pipelines, labeling workflows), translating needs into plans, owning performance metrics, ensuring a good experience for fellows, and partnering with Product/Engineering on tooling. Success involves consistent delivery, improved operational metrics, and strong team leadership. Requires 5+ years in operations, 2+ years managing teams, and experience with complex projects, ideally in AI data operations or ML ops. | DataEval Gate | 7 |