Product Matching Specialist - Freelance AI Trainer Project

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Product Matching Specialist - Freelance AI Trainer Project Ghana Project Overview We are seeking independent Product Matching Specialists and data experts to provide their expertise for an e-commerce platform enrichment project. As digital storefronts and influencer platforms evolve, their usability depends entirely on high-quality product matching and accurate categorization. Quality is our top priority. The objective of this project is to evaluate digital content, accurately match new products to existing ones, and create new product entries when needed to ensure the highest standards of data integrity. Project Deliverables & Scope Operate autonomously to process digital content and provide structured data tagging. Expected deliverables include: Product Data Enrichment: Accurately matching, creating, or dismissing product "pins" on the platform based on provided project guidelines. Quality Assurance Auditing: Reviewing and updating digital product content to ensure it strictly meets standards for accuracy, clarity, and relevance. Edge Case Documentation: Proactively identifying, documenting, and flagging data inconsistencies, anomalies, or edge cases within the platform's ecosystem. Taxonomy & Logic Feedback: Providing structured suggestions and expert feedback to improve the platform's overall tagging logic, taxonomy, and data labeling workflows. Required Expertise & Background To successfully fulfill the deliverables of this project, Contractors must possess sharp attention to detail and a quality-first mindset (catching what others miss). Core competencies and requirements include: Demonstrable speed and accuracy with data entry, product tagging, or content moderation. Comfort and proficiency working with digital content, specifically evaluating and matching complex product images. The ability to independently follow complex guidelines and apply nuanced

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