fetch1d ago
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From $25/yr
AI Operations Specialist
Remotefull-timemid
OperationsOperations Specialist
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Quick Summary
Key Responsibilities
As an AI Operations Specialist, you’ll be hands-on in the work that powers Fetch’s automation and AI performance.
Requirements Summary
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,
Technical Tools
OperationsOperations Specialist
About the Role
~1 min readAt 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.
Responsibilities
~1 min read- →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.
- Enthusiastic about Fetch
- You’re excited about using AI and automation to make everyday work smarter and more rewarding.
- Technically Proficient
- Comfortable with Google Sheets, digital collaboration tools, and adopting new AI platforms.
- A Fast Learner
- You pick up new tools and concepts quickly — especially when they make you more efficient.
- Adaptable to Change
- You thrive in a fast-moving environment where processes evolve as we learn.
- Self-Motivated
- You take initiative, ask questions, and look for ways to improve outcomes and systems.
- Coachable and Collaborative
- You value feedback and enjoy working closely with others toward shared goals.
Requirements
~1 min read- 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.
- 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.
What We Offer
~1 min readAt 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.
Location & Eligibility
Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Same as job location
Listing Details
- Posted
- September 25, 2026
- First seen
- September 26, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 77%
- Scored at
- September 27, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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