Head of Go-To-Market & Solutions- Data Labelling & Annotation, RHLF Services, LLM Model Evaluation

Posted 2 days ago

Worldwide

Summary

IMPORTANT NOTE ************ We're hiring visionary engineers and data experts! If you're passionate about building high-compliance AI for healthcare, finance, and autonomous systems, AND MORE we want you. Don't see your perfect role listed? We still want to hear from you. Share a detailed covering letter telling us your ideal role, your unique expertise, and why we should hire you. Join us to build the future of enterprise AI. ABOUT THE ROLE We are building the premier AI data solutions provider for high-value verticals. We are seeking a senior leader to architect our GTM strategy and lead the solutioning for our most complex opportunities. This is a hybrid "player-coach" role responsible for shaping our brand as a leader in the AI data services ecosystem and winning enterprise deals. Key Responsibilities Strategic Deal Leadership: Own the end-to-end solutioning process for high-value AI Training Data deals, from qualification through closure. Architect advanced AI training data solutions, including annotation pipelines, QA frameworks, Human-in-the-Loop (HITL) workflows, and scalable delivery models for Generative AI, LLMs, and Computer Vision . GTM Strategy & Market Positioning: Shape the GTM strategy by building analyst relationships (Gartner, Forrester), developing strategic partnerships with AI platform providers and cloud vendors, and acting as an AI evangelist through thought leadership content (white papers, webinars, blogs) . Commercial Engineering: Design competitive pricing strategies, margin optimization models, and innovative deal structures that move beyond "per-hour" labor to value-based and subscription-based models . Team Mentorship: Mentor the solutioning and sales teams on AI solution design, deal strategy, and GTM execution . Qualifications 8+ years of experience in AI/ML, data services, or enterprise technology consulting. Proven success in leading and winning large-scale solutioning deals with hands-on experience in solution architecture and commercial modeling for AI training data. Deep understanding of the AI lifecycle and the critical role of training data (LLMs, GenAI, Computer Vision, RLHF) . Direct experience in analyst relations, technology partnerships, or product/service marketing . Exceptional ability to communicate complex AI solutions to C-level stakeholders. IMPORTANT NOTE : ********** We're assembling a world-class team of engineers, data experts, and strategic thinkers to tackle the most challenging problems in enterprise AI. Our projects are as diverse as they are complex—spanning precision data labeling for autonomous systems, developing compliant models for healthcare and finance, and engineering custom AI solutions for global leaders. While we've listed specific roles, we know talent doesn't always fit a single mould. If you don't see your perfect fit in the openings below, we still want to hear from you. Tell us about your expertise: Please submit your a detailed covering letter.: Your Preferred Role: Which type of project excites you most? (e.g., Senior AI Annotator, MLOps Engineer, Solutions Architect, Quality Lead) Your Unique Value: What specific expertise or experience would you bring to our team and projects? Why You?: Articulate why your particular skills and passion make you the ideal person to help us deliver excellence for our enterprise clients. We are looking for proactive problem-solvers who are ready to take ownership and build something extraordinary. If that sounds like you, we want to connect.

  • More than 30 hrs/week
    Hourly
  • 6+ months
    Duration
  • Expert
    Experience Level
  • $100.00

    -

    $500.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Data Analysis
Data Scientist
Activity on this job
  • Proposals:20 to 50
  • Last viewed by client:yesterday
  • Interviewing:
    7
  • Invites sent:
    27
  • Unanswered invites:
    13
About the client
Member since Sep 2, 2022
  • United Kingdom
    Stanmore1:53 PM
  • $859 total spent
    18 hires, 4 active
  • 86 hours

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