Commercial / Go-to-Market Specialist
Quick facts
- Type
- Part-time
- Location
- Remote
- Hours
- 40+ hours / week
- Background
- Bachelor's degree
- Platform
- Turing — 221 open jobs
- Typical pay at Turing
- $15–25/hour · median $15 (18 jobs on our site)
- Payout
- Bank transfer, Deel (monthly)
- Apply
- Free to apply — never pay to get AI training work
Design and evaluate B2B sales scenarios and calibration tasks.
About Turing
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Role Overview
We are seeking an experienced Subject Matter Expert (SME) in B2B Commercial / Go-to-Market (GTM) operations to design, evaluate, and calibrate high-fidelity domain tasks, realistic sales and retention scenarios, and benchmark evaluation rubrics.
This unified role covers practitioners across two key GTM functions: B2B Account Execution and Customer Success Management. Candidates will be placed into an Expert Contributor (mid-level) or Senior Specialist / Reviewer (senior-level) track based on overall commercial experience, deal complexity, and prior background with quality calibration or peer review.
Requirements
Experience: 3–12+ years of direct, hands-on experience in B2B enterprise sales, account management, or customer success within SaaS, technology, or professional services environments.
Methodological Mastery: Deep practical knowledge of industry-standard GTM frameworks (e.g., MEDDPICC, Challenger, SPICED, Gainsight/Totango health methodologies).
Track Record: Demonstrated history of quota attainment, pipeline ownership, enterprise renewal management, or account expansion.
Analytical & Critical Thinking: Sharp ability to identify flaws in commercial logic, weak objection handling, unrealistic sales pipelines, or poorly structured customer intervention plans.
Communication: Exceptional written communication and documentation skills, with the ability to articulate clear deal rationales, feedback notes, and objective rubric scoring.
Responsibilities
Benchmark Task Authoring: Design realistic, high-complexity B2B sales and retention exercises—including discovery call simulations, enterprise qualification frameworks, RFP responses, renewal negotiations, account health diagnostics, and customer escalations—complete with gold-standard solution sets.
Rubric Adherence & Scoring: Apply evaluation criteria defined by the Functional SME Lead to assess commercial deliverables, evaluating qualification rigor, objection handling, commercial framing, and executive alignment.
Review & Quality Calibration (Senior Level): Audit, review, and calibrate submissions from pod members to maintain high technical and commercial accuracy, clarify edge-case commercial scenarios, and escalate rubric ambiguities with actionable recommendations.
Iterative Refinement: Incorporate structured calibration feedback and peer critiques across sprint cycles to continuously elevate benchmark solution quality.
Education & Experience
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
- Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 12 weeks
- Applicants needs to submit Job Interest Form & complete the assessment.
- Final selected candidates will be contacted with the next steps and onboarding requirements.
Offer Details:
Evaluation Process -
Skills: Relations & Functions, CRM
Turing started as a marketplace for remote software engineers and now focuses on training and evaluating AI models for frontier labs. Most listings are for developers who write, review and debug code used to improve LLM coding ability.