Jobs · Management

AI Operations Specialist

Fetch · United States · 3 wk ago
RemoteRemoteManagement$212/hrFull-time
We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use
  • for any list of duties/requirements/benefits, and

    for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section only when posting has real, specific content for it. Avoid filler like "commensurate with experience". So we need to extract content. Let's parse the posting. First paragraph: "What we’re building and why we’re building it. Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users. Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers. The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base. It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch." That's about the company. Could be "About the role"? Actually "About The Role" heading appears later. The earlier part is more about company. Could be "About the role"? But we have a separate "About The Role" heading later. The earlier part is more like "About Fetch". The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content accordingly. We have "About The Role" heading in the posting: "About The Role At Fetch, we’re building AI and automation systems that make our work smarter, faster, and more scalable. The AI Operations team is the human power behind that mission; ensuring our AI models, automations, and LLMs perform with quality, reliability, and impact. As an AI Operations Specialist, you’ll play a key role in maintaining the accuracy and effectiveness of Fetch’s AI systems. You’ll complete evaluations, create annotations and training data, and provide the human insight that keeps our technology aligned with real-world needs. This is a great opportunity for someone who’s naturally curious, quality-focused, and passionate about problem-solving. You’ll use tools like ChatGPT, Google App Scripts, and Airtable in your daily work; not just to save time, but to elevate your impact. This is a full-time role that can be held from one of our US offices or remotely in the United States." So that is the "About the role" section. Then "Role Responsibilities" heading: "As an AI Operations Specialist, you’ll be hands-on in the work that powers Fetch’s automation and AI performance. Your responsibilities will include:Evaluating model outputs: Review and score LLM or automation performance to assess accuracy, consistency, and reliability.Annotating and labeling data: Create and maintain high-quality datasets that train and improve AI models.Applying reasoning and research: Use critical thinking, logic, and investigative research to determine the best possible answers or classifications when data is ambiguous or unclear.Supporting SMaC (Scan, Match, & Catalog): Contribute to mapping creation, catalog support, and maintaining the quality of existing ML models that power product recognition and classification.Using AI tools to enhance your work: Leverage tools like ChatGPT, Copilot, and other emerging technologies to increase speed and accuracy." Then "Individuals Who Are Successful In This Role Are" bullet list: Enthusiastic about Fetch, Technically Proficient, Fast Learner, Adaptable to Change, Self-Motivated, Coachable and Collaborative. Then "Minimum Requirements" bullet list: Hands on experience with LLMs like ChatGPT and Gemini. Direct experience using Google Sheets and Excel, including advanced features (pivot tables, v-look up) Ability to research, leverage provided SOPs, and use best judgment to solve ambiguous problems. Then "Preferred Requirements" bullet list: Familiarity with data labeling, model evaluation, or QA workflows. Experience in tech-enabled operations, automation support, or customer operations. Background in consumer packaged goods (CPG), retail, or e-commerce. Bonus points for SQL or Python. Then "Compensation" heading: "At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The hourly rate for this position is $24.99 per hour. Discover our benefits and how our employees live rewarded at https://fetch.com/careers." Then benefits list: "At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.401k Match: Dollar-for-dollar match up to 4%.Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.Continuing Education: Fetch provides ten thousand per year in education reimbursement.Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)" Then EEO boilerplate etc which we need to remove. Thus sections we have: About the role, Responsibilities, Requirements (maybe combine Minimum and Preferred?), Qualifications? The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We have content for About the role, Responsibilities, Minimum Requirements (could be Requirements), Preferred Requirements (could be Qualifications or Skills?), Benefits, Pay (hourly rate). No schedule info (remote/US offices maybe schedule? Not explicit). Could include "Flexible Work Environment" maybe as Schedule? But schedule is about hours? Not given. Probably we omit Schedule if not present. Skills: maybe we could extract from "Individuals Who Are Successful In This Role Are" as skills/attributes. Could map to Skills section. Or we could treat those as Qualifications. The instruction says prefer a few substantive sections over many thin ones. So we could combine Minimum and Preferred Requirements into Requirements and Qualifications? But we need to follow headings list: we can include only those with real content. We have: - About the role: yes. - Responsibilities: yes. - Requirements: we have Minimum Requirements (could be Requirements). Also Preferred Requirements could be Qualifications. - Skills: maybe the "Individuals Who Are Successful..." list could be Skills. - Benefits: yes. - Pay: yes (hourly rate). - Schedule: not explicit; we have flexible work environment but not schedule like hours. Could treat as Schedule? Might be considered but not explicit schedule. Safer to omit Schedule if not specific. Thus output sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. We need to use

    for each heading. Use
    • for any list of duties/requirements/benefits. Use

      for prose. We must not repeat job title as heading. Not include Job ID etc. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep all details from those sections. Let's extract each section's content precisely. About the role: The paragraph after "About The Role". Let's copy exactly: "At Fetch, we’re building AI and automation systems that make our work smarter, faster, and more scalable. The AI Operations team is the human power behind that mission; ensuring our AI models, automations, and LLMs perform with quality, reliability, and impact. As an AI Operations Specialist, you’ll play a key role in maintaining the accuracy and effectiveness of Fetch’s AI systems. You’ll complete evaluations, create annotations and training data, and provide the human insight that keeps our technology aligned with real-world needs. This is a great opportunity for someone who’s naturally curious, quality-focused, and passionate about problem-solving. You’ll use tools like ChatGPT, Google App Scripts, and Airtable in your daily work; not just to save time, but to elevate your impact. This is a full-time role that can be held from one of our US offices or remotely in the United States." We need to keep that as prose (

      ). Possibly break into multiple paragraphs? Could keep as one

      . Responsibilities: The list after "Role Responsibilities". The heading: "As an AI Operations Specialist, you’ll be hands-on in the work that powers Fetch’s automation and AI performance. Your responsibilities will include:" then list items separated by periods? Actually they are separated by periods but each item ends with a period? Let's extract: - Evaluating model outputs: Review and score LLM or automation performance to assess accuracy, consistency, and reliability. - Annotating and labeling data: Create and maintain high-quality datasets that train and improve AI models. - Applying reasoning and research: Use critical thinking, logic, and investigative research to determine the best possible answers or classifications when data is ambiguous or unclear. - Supporting SMaC (Scan, Match, & Catalog): Contribute to mapping creation, catalog support, and maintaining the quality of existing ML models that power product recognition and classification. - Using AI tools to enhance your work: Leverage tools like ChatGPT, Copilot, and other emerging technologies to increase speed and accuracy. We need to output as

      • each. Requirements (Minimum Requirements): list: - Hands on experience with LLMs like ChatGPT and Gemini. - Direct experience using Google Sheets and Excel, including advanced features (pivot tables, v-look up) - Ability to research, leverage provided SOPs, and use best judgment to solve ambiguous problems. Note: The third bullet: "Ability to research, leverage provided SOPs, and use best judgment to solve ambiguous problems." It appears as a sentence. Qualifications (Preferred Requirements): list: - Familiarity with data labeling, model evaluation, or QA workflows. - Experience in tech-enabled operations, automation support,

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