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 |
| 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 |
| Fellow Experience Specialist, India (Contract) This role provides payment, contract, and general support to AI Fellows, focusing on resolving inquiries, managing contracts, and troubleshooting technical issues using tools like Big Query and SQL. It involves analyzing common issues and collaborating with product and ops teams to implement solutions, aiming to improve the overall experience for Fellows and contribute to the AI infrastructure. | — | 5 |