Talent Engineer

SuperAnnotate AI•San Francisco, CA

20d•$130,000 - $170,000•Hybrid

About The Position

SuperAnnotate is hiring its first Talent Engineer to design and own the recruiting engine that supports SME Careers’ global expert workforce. The role focuses on configuring AI sourcing and outreach tools, building scalable workflows and integrations, and developing reliable, measurable systems that help source and hire experts across languages and professional fields. The Talent Engineer will work directly with the Director of Product and Operations and the SME Careers talent team, and partner with engineering when integrations or platform changes are needed. This is a full-time, hybrid position based in San Francisco.

Requirements

At least 3 years of experience in recruiting, sourcing, or recruiting operations, with working knowledge of sourcing, screening, and outreach.
Experience recruiting at high volume, especially for contractor, freelance, or gig workforces.
Hands-on experience operating AI sourcing or outreach tools, such as Juicebox, hireEZ, Gem, or similar, beyond basic searches.
Programming or scripting experience, ideally in Python or JavaScript, plus SQL; comfort with REST APIs, JSON, and webhooks.
A track record of building reliable, maintainable automations or workflows that others can use without daily assistance, with attention to data integrity.
Hands-on experience building software using AI coding tools such as Claude Code, Cursor, or Codex, and having shipped working tools or automations with them.
Comfort building funnel reports from raw exports or an API and explaining the results.
Understanding of recruiters’ day-to-day work and ability to build tools that teams will adopt.
Good judgment about candidate experience and the ability to recognize when outreach sounds automated.
Comfort with ambiguity and building a function from scratch.

Nice To Haves

Experience building recruiting or HR 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.

Responsibilities

Configure AI sourcing and outreach platforms and agents, and own their performance after launch.
Connect the job platform to sourcing tools so new roles are sourced automatically.
Build and maintain prompts, evaluation logic, and quality checks for AI-assisted screening.
Design reusable outreach sequences for email and LinkedIn; A/B test messaging and improve conversion.
Build reporting on source quality, conversion, time to staff, and cost per active expert, and use findings to inform decisions.
Create workflows to search the existing applicant pool before spending on new candidates.
Scope and build integrations using APIs and webhooks, collaborating with engineers on platform changes.
Calibrate search criteria with the talent team, protect candidate experience, and ensure outreach complies with privacy requirements such as GDPR.
Document the architecture and workflows, and train the talent team to run and adjust them independently.