01 Aug
|
Innodata
|
India
Job Title: AI Language Model Trainer (Freelance/Remote) Job Overvie wWe are seeking an Advanced English Specialist to join our team as a freelance AI Language Model Trainer. In this role, you will be responsible for evaluating, refining, and training cutting-edge Large Language Models (LLMs). You will challenge AI outputs on semantic precision, syntactic logic, stylistic nuance, and pragmatic alignment to ensure our models communicate with human-like accuracy . This is a fully remote, flexible, project-based freelance opportunity compensated at a competitive hourly rat e. Key Responsibilit iesEvaluate & Benchma rk: Analyze complex model outputs, rating them against strict linguistic rubrics for factuality, tone, coherence, and stylistic fluidi ty.Prompt Engineeri ng: Design adversarial prompts ("red-teaming") to stress-test the model's guardrails, logic, and edge-case handli ng.Linguistic Annotati on: Correct subtle errors in syntax, semantics, and register variation, providing clear written rationales for model adjustmen ts.Reinforcement Learning (RLH F): Synthesize high-quality data paths to train reward models on advanced text generati on. Qualifications & Requirem entsLinguistic Mast ery: Exceptional, native-level command of the English language with a deep understanding of rhetoric, advanced grammar, and style guideli nes.Analytical Mind set: Ability to spot minute inconsistencies, logical leaps, or factual errors in AI outputs that an average reader would m iss.Technical Comf ort: Prior experience with LLMs,
prompt engineering, or data annotation platforms is highly preferred but not mandat ory.Independe nce: Self-motivated freelancer capable of managing their own hours while consistently hitting quality and accuracy metr ics. Project Details & Compens ationEmployment Type: Freelance Contract / Project- BasedLoca tion: 100% R emoteCompensa tion: Competitive Hourly Rate (paid out based on approved logged task h ours)H ours: Flexible, depending on project vo lume. Hiring & Selection P rocessWe maintain a strict quality threshold for our training data. Our vetting process consists of the following stru cture:Initial R eview: Verification of your linguistic background and profile de tails.Assessment Phase (Manda tory):T est 1: Core Linguistic & Logic Evaluation (Approx. 1.5 Hours)T est 2: Practical Model Rating & Prompt Design Simulation (Approx. 1.5 Hours)Note: The total vetting assessment time across both tests is roughly 3 hours.Onboarding: Only candidates who successfully transparent both assessments with our benchmark score will be onboarded onto the active freelance project r oster. Disc laimer:“Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for any form of payment during any stage of the recruitment, onboarding or employment process. If you believe you’ve been targeted by a recruitment scam, please immediately report it to ta.com”
📌 Language Model Trainer (India)
🏢 Innodata
📍 India