AI Data Quality Reviewer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Talent Hackers

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Talent Hackers is a remote-focused recruiting and staffing company that sources, vets, and places full-time remote professionals from regions like Nigeria and South America for companies worldwide. They provide end-to-end hiring services — job scoping, candidate screening, HR, onboarding, compliance, and a replacement guarantee — at flat, all-in rates significantly below comparable North American hires. Talent Hackers serves B2B clients including startups, marketing agencies, e-commerce, finance, and healthcare teams seeking dedicated, timezone-aligned talent for roles in marketing, design, operations, finance, and development.

📋 Description

• Review contributor submissions across text and video against project-specific guidelines and acceptance criteria • Approve, reject, or return submissions for correction while providing clear feedback • Maintain high accuracy and consistency while meeting project throughput and turnaround-time targets • Identify duplicate, low-effort, synthetic, manipulated, or otherwise suspicious submissions • Escalate potential data integrity issues • Apply detailed review rubrics consistently across large volumes of submissions • Track recurring contributor errors and flag unclear or ineffective task instructions • Accurately record review decisions, rejection reasons, and other required information • Provide clear feedback to contributors

🎯 Requirements

• 1–3+ years of experience in data annotation, quality assurance, content moderation, trust & safety, document review, or another high-volume review environment • Experience reviewing others’ work or submissions against defined guidelines, policies, rubrics, or SOPs • Exceptional attention to detail and ability to identify subtle errors, inconsistencies, and quality issues • Strong judgment and ability to make consistent decisions when reviewing large volumes of submissions • Ability to quickly learn and accurately apply new project-specific guidelines and acceptance criteria • Strong (C-level) written and verbal English communication skills • Ability to provide concise, clear, and constructive reviewer feedback • Comfortable working toward measurable accuracy, productivity, and turnaround targets • Strong organizational skills and ability to accurately document review decisions • Ability to work full-time EST hours • Nice to have: experience reviewing AI training data, data annotations, RLHF tasks, or human-generated datasets • Nice to have: background in content moderation, trust & safety, fraud detection, data integrity, or marketplace quality control

🏖️ Benefits

• Full-time employment • Remote work arrangement

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