JustAnswer Logo

JustAnswer

Head of AI Data Solutions

Posted 25 Days Ago
Easy Apply
Remote
Hiring Remotely in United States
Senior level
Easy Apply
Remote
Hiring Remotely in United States
Senior level
The role involves leading the development of AI Data Services, defining offerings, building delivery and quality systems, ensuring customer outcomes, and establishing credibility in expert data.
The summary above was generated by AI

About Us

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.

Our Values

  • Data driven: Data decides, not egos
  • Courageous: We take risks and challenge the status quo
  • Innovative: We're constantly learning, creating, and adapting
  • Lean: We focus on customers, using lean testing to learn how to serve them best
  • Humble: Past success is not a guarantee of future success

Pearl, the parent company of JustAnswer, is building a category-defining enterprise business at the intersection of AI and professional human expertise. We believe the next wave of AI progress will come from models that do work, not just answer questions. That requires higher-quality training and evaluation data built by real experts.

Pearl is uniquely positioned to win in this space. We have a network of more than 20,000 licensed professionals, two decades of experience operating high-trust expert workflows, and multimodal capabilities across chat, voice, and computer-use tasks.

The opportunity

We are looking for a leader to build Pearl’s AI data business into a trusted partner for frontier AI labs and AI-native companies. This role will define what we sell, how we deliver it, and how we ensure quality at scale.

This is not a quota-carrying sales role. It is a product and operations leadership role with deep customer intimacy. You will work across discovery, solution design, delivery, quality, and expansion to turn complex AI research needs into repeatable expert data programs.

What you will own

  • You will define and productize Pearl’s AI data offerings, including how they are packaged, delivered, measured, and improved over time.
  • You will build the delivery engine for expert data programs across staffing, workflows, tooling, QA, and automation.
  • You will establish the quality bar through rubrics, audits, calibration, gold sets, verifiers, and continuous performance scoring.
  • You will partner closely with customers to translate ambiguous training and evaluation needs into clear task designs, workflows, and production-ready specifications.
  • You will help shape Pearl’s data rights and licensing strategy with Legal so we can scale responsibly while protecting confidentiality, privacy, and customer trust.
  • You will also help build Pearl’s credibility in the market by defining clear standards for what elite expert data looks like.

Examples of programs you may build

  • Expert training data for specialized domains
  • Preference and ranking data with strong rubrics
  • Evaluation programs for truthfulness, reasoning, safety, and policy adherence
  • Verifier, critique, and structured feedback workflows
  • Hard-case and adversarial datasets that expose model failure modes
  • Agentic and long-horizon tasks involving tools, software, and decision-making
  • Multimodal programs across text, voice, and computer-use environments

What we are looking for

  • You have experience in AI data services, AI data product leadership, ML research operations, AI partnerships, or a related field.
  • You have built or operated high-quality human data programs such as supervised fine tuning, preference data, evaluations, verifiers, critiques, or rubric-driven QA.
  • You are comfortable working with ML researchers, engineers, and technical product teams on dataset design, formats, and evaluation methodology.
  • You know how to turn ambiguous customer or research needs into structured workflows and production-ready delivery plans.
  • You have strong operational judgment and understand what it takes to build quality, trust, and repeatability in a fast-moving environment.
  • Experience with data rights, licensing, confidentiality, or enterprise-grade data delivery is strongly preferred.

Ideal backgrounds may include

  • AI data procurement or partnerships at a frontier AI lab or model-building organization
  • Senior leadership at a custom AI data provider such as Scale, Appen, Prolific, or a similar company
  • Data product or research operations leadership in an AI-native environment

Why this role matters

A strong leader in this role could unlock a significant new business for Pearl by helping us deliver expert training and evaluation data to leading AI labs. This is an opportunity to build something important from the ground up and define a category where Pearl has a real right to win.

Remote From these States

California, Florida, Georgia, Idaho, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington, and Wisconsin.

Pay Transparency

Pearl will provide pay transparency information upon application to those in qualifying jurisdictions.    
Employment is with JustAnswer LLC, a Pearl company.

Our Commitment to an Inclusive Workplace

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

AI Disclosure & Informed Consent

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
#LI-Remote

Top Skills

AI
Automation
Data Products
Ml
Quality Assurance (Qa)

Similar Jobs

5 Minutes Ago
Remote
United States
Senior level
Senior level
Artificial Intelligence • Productivity • Software • Automation
Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.
Top Skills: AILlmMl
5 Minutes Ago
Remote
United States
275K-412K Annually
Expert/Leader
275K-412K Annually
Expert/Leader
Artificial Intelligence • Productivity • Software • Automation
The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.
Top Skills: Attention MechanismsEvaluation FrameworksLlmsOrchestrationRetrieval SystemsTransformer NetworksVector Databases
5 Minutes Ago
Remote
United States
240K-300K Annually
Senior level
240K-300K Annually
Senior level
Artificial Intelligence • Productivity • Software • Automation
The Enterprise Account Executive will drive revenue by owning the sales cycle, understanding customer needs, navigating complex sales, and collaborating with teams to build strategic plans.
Top Skills: Ai ToolsAPIsAutomationHubspotIntegrationsSaaS

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account