PInnodata (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. /ppBy 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. /ppbr/ppOur global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. /ppbr/ppbAbout the Role /b /ppbr/ppbJob Title: /b Data Annotator /ppbEmployment Type: /b Freelance / Project-Based /ppbLocation: /b Remote (Work From Home) /ppbWork Hours: /b Flexible; minimum commitment of 4–5 hours per day /ppbEligibility: /b Open to candidates with a Bachelor’s degree /ppbr/ppbr/ppWe are seeking bData Annotator /b to support a data annotation and linguistic quality project aimed at btraining Large Language Models (LLMs) /b. This is a bfreelance, remote opportunity /b that offers flexible working hours. /ppThe role involves understanding cultural and linguistic nuances, reviewing and annotating data, and following detailed project-specific guidelines to enhance AI performance and accuracy. /ppbr/ppbKey Responsibilities /b /ppbr/pulliPerform data annotation, and text evaluation in accordance with project-specific guidelines. /liliEnsure high-quality, accurate, and contextually relevant annotations to support Large Language Model (LLM) training. /liliReview, validate, and refine AI-generated content for grammatical, semantic, and contextual accuracy. /liliMaintain consistency and quality across all deliverables while adhering to established project standards and timelines. /liliCollaborate effectively with the project team to provide feedback and contribute to continuous improvement. /liliMaintain strict confidentiality and comply with all project deadlines and quality assurance protocols. /li /ulpbr/ppbRequired Skills Qualifications /b /ppbr/pullibBachelor’s degree /b in mandatory. /liliGood proficiency in the English language /liliPrior experience in bdata annotation /b, blinguistic evaluation /b, or bAI training /b projects. /li /ulpbr/ppbWhat Makes This Role Exciting /b /ppbr/pulli.bFully remote opportunity /b, allowing you to work comfortably from home. /lilibFlexible working hours /b (4–5 hours per day) to suit your schedule. /liliThe chance to bcontribute to cutting-edge AI and Large Language Model (LLM) training initiatives /b, shaping the future of language technology. /li /ulpbr/ppbNote: /b /ppFor this role, you are required to complete the bEnglish assessment /b within a day from the date it is assigned to you. /p