Customer Success - Operations (India Region)

Round 1: Short AI interview (≈20 minutes) to assess domain knowledge and communication → Round 2: Background verification and contract onboarding → Project‑specific invitation with rate and scope details

Mercor promotes a results‑driven, remote‑first culture where experts enjoy flexibility, autonomy, and regular knowledge‑sharing sessions. The company emphasizes continuous upskilling, transparent feedback, and a supportive community that values work‑life balance while delivering high‑impact AI projects.

Mercor’s interview experience is concise yet thorough. Candidates first complete a 20‑minute AI‑driven interview that tests domain knowledge, communication clarity, and ability to handle ambiguous scenarios. The process is followed by a quick background verification. The interview is moderate in difficulty, focusing on real‑world operational examples rather than obscure technical trivia. Preparation should include clear articulation of past projects and comfort with data‑driven analysis.

Any graduate (B.Tech, B.E., B.Com, BBA, MBA, or equivalent) with a minimum of 60% aggregate (or CGPA 6.5/10). Must have completed the final year of study (batch 2024‑2027) or be a recent graduate. Candidates should have 1‑3 years of professional experience in any business operations function such as sales, customer success, supply chain, HR, or process improvement. No active backlogs are allowed at the time of application. Must be legally eligible to work in India and have a valid PAN and bank account for payments. H1‑B or STEM‑OPT candidates are not supported.

Mercor is a fast‑growing AI‑focused services company that partners with leading artificial‑intelligence labs and enterprises to train, evaluate, and improve frontier models. Founded by a team of ex‑researchers and product builders, Mercor builds a global talent network of domain experts who bring real‑world business judgment to AI systems that otherwise lack practical insight. The company operates fully remotely, offering flexible contracts to specialists across the world while maintaining a collaborative culture driven by data, rigor, and continuous learning. The role of Business Operations Expert – Customer Success (India Region) sits at the intersection of business operations and AI model training. As a member of Mercor’s talent pool, you will not be hired for a single permanent position; instead, you will be matched to short‑term, high‑impact projects that require deep operational expertise. Each project typically lasts a few weeks and pays $90‑$120 per hour, depending on scope and complexity. Your primary responsibility is to author, evaluate, and critique operational scenarios that AI models generate, ensuring that recommendations are realistic, implementable, and aligned with real‑world constraints. **Key Responsibilities** 1. Write detailed operating problems, including process steps, constraints, quantitative data, and a reference solution for model evaluation. 2. Grade model‑generated operational analyses for feasibility, accuracy of forecasts, and relevance of metrics. 3. Identify and flag recommendations that would stall in practice due to headcount, system limitations, vendor terms, or approval hierarchies. 4. Provide clear, concise written feedback that explains your reasoning and highlights gaps in model outputs. 5. Collaborate with AI research teams to refine evaluation rubrics and improve model performance over time. 6. Stay updated on industry best practices in sales, customer success, supply chain, HR, and other business functions covered by the talent pool. 7. Participate in a short AI interview (≈20 minutes) to verify expertise and fit for the pool. 8. Maintain confidentiality and avoid handling proprietary client data. 9. Track project hours and submit deliverables through Mercor’s portal for weekly payment processing. 10. Contribute to community knowledge by sharing anonymized case studies and insights with fellow experts. **Tech Stack & Tools**: Advanced Excel/Google Sheets, SQL for data extraction, PowerBI/Tableau for visual analytics, basic scripting (Python or R) for data manipulation, project management tools (Asana, Trello), and collaborative platforms (Slack, Notion). Familiarity with AI model evaluation frameworks is a plus. **Growth Path**: Starting as a contract expert, high‑performing contributors can earn higher hourly rates, gain access to larger, strategic projects, and eventually become senior domain leads who help design evaluation frameworks for entire business functions. Mercurial’s remote‑first model also allows you to build a diversified portfolio across multiple industries. **Why Join Mercor?**: You will work directly with cutting‑edge AI research teams, influence the next generation of intelligent systems, and earn competitive hourly compensation while enjoying the freedom of remote, contract‑based work. The platform offers continuous learning, exposure to varied business challenges, and a community of like‑minded professionals across the globe.