Signal Distribution
Inspection Layers
Suspicious signals detected. Do not share sensitive documents until you independently verify this employer exists.
- 01Search the company name + "scam" on Google
- 02Verify the recruiter on LinkedIn using their company email domain
- 03Never pay any fee before starting work
- 04Only share ID documents after a formal written offer
Forensic Breakdown
2 signals analyzed across 2 inspection layers
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Submitted Description
Accept Reject Data Annotator Innodata Inc. Germany Innodata Inc. Data Annotator Innodata Inc. Germany 1 week ago Over 200 applicants See who Innodata Inc. has hired for this role Apply Save Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. About the Role Job Title: Data Annotator Employment Type: Freelance / Project-Based Location: Remote (Work From Home) Work Hours: Flexible; minimum commitment of 4–5 hours per day Eligibility: Open to candidates with a Bachelor’s degree We are seeking Data Annotator to support a data annotation and linguistic quality project aimed at training Large Language Models (LLMs). This is a freelance, remote opportunity that offers flexible working hours. The role involves understanding cultural and linguistic nuances, reviewing and annotating data, and following detailed project-specific guidelines to enhance AI performance and accuracy. Key Responsibilities Perform data annotation, and text evaluation in accordance with project-specific guidelines. Ensure high-quality, accurate, and contextually relevant annotations to support Large Language Model (LLM) training. Review, validate, and refine AI-generated content for grammatical, semantic, and contextual accuracy. Maintain consistency and quality across all deliverables while adhering to established project standards and timelines. Collaborate effectively with the project team to provide feedback and contribute to continuous improvement. Maintain strict confidentiality and comply with all project deadlines and quality assurance protocols. Required Skills & Qualifications Bachelor’s degree in mandatory. Good proficiency in the English language Prior experience in data annotation, linguistic evaluation, or AI training projects. What Makes This Role Exciting
Methodology: VeriJob analyzes domains, TLS certificates, DNS records, content patterns, and reputation databases using a weighted signal model. Scores are probabilistic estimates, not legal verdicts.
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