Job Summary:
HumanSignal Services is a human data partner for companies building AI models and products. The Operations Associate role involves managing complex operational processes and ensuring high-quality data delivery for AI research, requiring strong problem-solving skills and the ability to navigate shifting customer requirements.
Responsibilities:
• Build and drive critical operational processes to meet day-to-day customer delivery commitments
• Manage daily operations across multiple Fellow or contributor programs, including onboarding, workflow coordination, and ongoing program health
• Maintain operational trackers and documentation to ensure consistent execution and follow-through across the team
• Monitor contributor engagement and flag retention or performance risks before they become delivery issues
• Create an effective feedback loop between frontline operations, product, strategy, and customers
• Identify recurring bottlenecks and recommend process improvements; run pilots and experiments to test solutions
• Collaborate with SPLs, TPMs, Customer Operations, and Product teams to improve processes for new and existing customers
Qualifications:
Required:
• 2+ years of experience in an operational role or top-tier consulting firm
• Undergraduate degree in an analytics-heavy field (Engineering, Economics, or related)
• Action-oriented; balances creative problem-solving with scrappy execution
• Strong analytical and process-improvement capability
• Proficiency in SQL or demonstrated analytical tooling skills
Preferred:
• Experience in marketplace, logistics, or workforce platform operations
• Familiarity with tools like Zendesk, Notion, or Airtable
• Exposure to AI/ML workflows, data annotation, or contributor management
• Entrepreneurial mindset; comfortable in fast-moving, ambiguous environments
Company:
HumanSignal Services (formerly Erud AI) delivers high-fidelity, multimodal data for frontier and enterprise AI teams tackling complex, real-world problems. Founded in 2024, the company is headquartered in San Francisco, CA, US, , with a team of 2-10 employees. The company is currently Early Stage.