Talent Engineer
About the job
- At least 3 years of experience in recruiting, sourcing, or recruiting operations, with a working understanding of how sourcing, screening, and outreach fit together.
- Experience recruiting at high volume, especially contractor, freelance, or gig workforces.
- Hands-on experience running AI sourcing or outreach tools beyond basic searches.
- Programming or scripting experience, ideally with Python or JavaScript, plus SQL, and comfort working with REST APIs, JSON, and webhooks.
- A track record of building automations or workflows that others rely on and that run without daily hand-holding, with attention to data integrity and long-term maintainability.
- Hands-on experience building software with AI coding tools beyond chat-based tools, with shipped working tools or automations rather than experimentation alone.
- Comfort with data, including building a funnel report from raw exports or an API and explaining its meaning.
- Understanding of a recruiter's day-to-day work and the ability to build tools a team will adopt.
- Good judgment about candidate experience and recognizing when outreach reads as automated.
- Comfort with ambiguity and building a function from scratch.
- Configure the AI sourcing and outreach platforms and agents in use, and own their performance after launch.
- Connect the job platform to sourcing tools so each new role is sourced automatically from day one.
- Build and maintain prompts, evaluation logic, and quality checks for AI-assisted screening so the strongest experts reach a human first.
- Design reusable outreach sequences across email and LinkedIn, A/B test messaging and steps, and retain what converts.
- Build reporting that provides real-time visibility into source quality, conversion, time to staff, and cost per active expert, and report findings candidly enough to change decisions.
- Set up workflows that search the existing applicant pool before spending on new candidates.
- Scope and build integrations through APIs and webhooks, and work with engineers when a change needs to be implemented in the platform.
- Calibrate search criteria with the talent team, protect the candidate experience, and keep outreach compliant with privacy rules such as GDPR.
- Document the architecture and workflows built, and train the talent team to run and adjust them independently.
- Experience building recruiting or human resources technology, or working at a company that builds it.
- Background in AI training data, data annotation, or expert networks.
- Experience with workflow automation tools such as n8n, Make, or Zapier.
- Global recruiting experience across multiple regions and languages.
- A computer science, data, or engineering background that led into recruiting or people operations.
About the company
SuperAnnotate provides an end-to-end data infrastructure platform for creating, managing, and evaluating high-quality AI training datasets, offered as a SaaS product with optional managed services for enterprise data pipelines. It supports multimodal data (images, video, text, audio) in a single interface and includes workflow automation, team management, and quality control, while integrating with a company’s existing data sources and model training pipelines; it also provides a global network of vetted annotators for scalable labeling projects. The platform’s key differentiator is combining comprehensive data infrastructure with managed annotation, strong quality control, automation, multimodal support, and enterprise-grade integration through a scalable human-in-the-loop workflow. The goal is to help enterprises build and deploy high-quality AI models faster by unifying data creation, curation, labeling, and evaluation in one platform.
Company Size
201-500
Company Stage
Series B
Total Funding
$67M
Headquarters
San Francisco, California
Founded
2018
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Simplify's Take
What believers are saying
- 2026 GetYourGuide and Wizard case studies show evaluation adoption and cost reductions.
- SuperAnnotate won Databricks' 2025 ISV Customer Impact Partner of the Year.
- Dell's July 2025 $13.5 million extension gave fresh capital for enterprise expansion.
What critics are saying
- Meta's June 2025 Scale AI deal intensified competition for enterprise data workflows.
- Public pricing remains quote-only in 2026, slowing trials and squeezing midmarket adoption.
- Reliance on managed services risks commoditization if buyers internalize labeling by 2027.
What makes SuperAnnotate AI unique
- Agent Hub, launched 2025, unifies annotation, curation, and evaluation workflows.
- SuperAnnotate supports text, image, video, and audio in one enterprise platform.
- 2026 Databricks OfficeQA benchmark work proves deep enterprise multimodal integration.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Retirement Plan
- Unlimited Paid Time Off
- Paid Holidays
- Stock Options
- Professional Development Budget
- Referral Program