REMOTEPARTTIME
AI Trainer Specialist
Innodata Inc.
Remote · remote · Posted 14d ago
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Section · 01
About this role
Innodata (NASDAQ: INOD) is a global data engineering and digital services company that focuses on power-boosting the future of Artificial Intelligence. They are a major partner for many of the world’s largest technology companies (often referred to as Big Tech) and enterprises, helping them build, train, and refine Large Language Models (LLMs) and generative AI systems.
Job Title : Data Annotator (AI Training & Model Evaluation
)Location : Remote (India
)Job Type : Freelance / Work-from-Hom
eEngagement : 5 to 6 hours dail y About the Ro leAre you passionate about the future of Artificial Intelligence? We are looking for sharp, analytical, and language-proficien
t Data Annotato rs to review, evaluate, and annotate digital content. In this role, you will play a direct part in training and improving Large Language Models (LLMs) and AI responses, ensuring content quality, linguistic correctness, and precise categorizatio n. 🔑 Key Responsibilit
- iesReview digital content to evaluate its quality, grammar, coherence, and overall accura
- cy.Help improve AI model responses by providing detailed, logical annotations and feedba
- ck.Follow strict project guidelines and specific taxonomies while labeling and structuring da
- ta.Identify factual inconsistencies, errors, or inappropriate content in model outpu ts. 🎯 Key Requirem
- entsLanguage Proficie ncy: Strong English skills are required; only candidates w
ith B2+, C1, o r C2 proficiency levels will be conside
- red.Strong attention to detail and excellent written communication ski
- lls.Good knowledge of current events, pop culture, and content categorizat
- ion.Familiarity with social media and modern digital platforms is mandat ory. 📝 Assessment Pr ocessTo ensure a match for this specialized project, candidates must complete a multi-stage evalua 1.
tion:Initial Online T ests: Candidates must comple te a General English Asses sment a nd a Task Readiness Asses sment via the registration link provided upon applica 2.
tion.Screening R ound: A formal review of your profile and initial test perform 3.
ance.Pearson Versant Test: Candidates who pass the initial screening will be allocated the Versant Test (final selection requires a verified B2+, C1, or C2 le vel). Please fill out this form accurately to proceed with your application for the Data Annotator pr oject.
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Section · 02