AI Fact-Checking, Response Evaluation Reviewer – French

Job not on LinkedIn

🔥 1 minute ago

🇫🇷 France – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.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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e2f, inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2004

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • Localization • SaaS

e2f, inc. is a leading provider of AI data services and localization solutions. With expertise in data collection, annotation, and evaluation, e2f creates high-quality datasets for various AI applications, including large language models (LLMs). The company has a strong focus on ethical practices and has been recognized as one of the Forbes Top 30 Best Companies for Remote Jobs.

📋 Description

• Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps • Review and evaluate AI-generated responses in French • Verify factual claims using reliable online sources and supporting evidence • Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions • Evaluate response quality, relevance, completeness, and alignment with user intent • Detect inconsistencies, unsupported claims, contradictory information, and missing evidence • Challenge AI-generated conclusions when evidence suggests a different outcome • Provide clear quality feedback and rationale for review decisions • Participate in training, calibration, and quality alignment sessions conducted in English • Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements • Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes • Complete guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks as part of qualification

🎯 Requirements

• Native or near-native fluency in French • Strong English proficiency, including the ability to understand guidelines and participate in training sessions • Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles • Excellent critical-thinking and analytical skills • Strong evidence-based decision-making abilities • Strong attention to detail and consistency • Ability to independently evaluate and challenge AI-generated conclusions • Ability to distinguish between factual support, contradiction, and insufficient evidence • Ability to interpret complex queries and assess response quality accurately • Comfortable working with structured data and AI-related projects • Comfortable working with ambiguity and incomplete information • Ability to pass a qualification assessment in English/French • Experience reviewing AI training data or annotation projects • Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows • Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research • Background in journalism, research, education, editorial review, investigation, or content quality assessment • Experience providing quality feedback, coaching, or calibration support to reviewer teams • Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content

🏖️ Benefits

• 100% remote and flexible work environment • Paid in USD • Work on cutting-edge AI and language technologies • Collaborate with a global network of AI quality professionals • Long-term opportunities for high-performing contributors • Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles • Help shape how AI systems evaluate information and make decisions • Contribute directly to the development of safer, more reliable, and more trustworthy AI systems