• Σχεδιασμός και ανάπτυξη λύσεων NLP με χρήση Large Language Models (π.χ. OpenAI, HuggingFace Transformers, LLaMA, Mistral κ.ά.). • Fine-tuning και βελτιστοποίηση προεκπαιδευμένων μοντέλων σε εξειδικευμένα datasets. • Ανάπτυξη pipelines για data preprocessing, training, evaluation και deployment σε cloud/edge περιβάλλοντα. • Συμμετοχή σε έργα R&D που ενσωματώνουν AI σε επιχειρησιακές και ερευνητικές πλατφόρμες. • Συνεργασία με Software Engineers, UI/UX Designers και Systems Architects για την ολοκληρωμένη υλοποίηση λύσεων. • Συμβολή στη συγγραφή τεχνικών παραδοτέων και τεκμηρίωσης AI modules. • Παρακολούθηση εξελίξεων στον χώρο του NLP & LLMs και εισαγωγή νέων μεθοδολογιών.

Please submit your resume in English and indicate your level of English. At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process. About the Role Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available. Responsibilities: - Carefully review provided data (text, images, or videos) - Label or classify content based on project guidelines - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities. Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Role Description Are you an expert at navigating the complex architecture of Large Language Models? Welo Data is seeking a highly technical Senior Prompt Engineer based in Japan to lead the end-to-end migration of template workflows into high-performance LLM autoraters. This is a specialized role for a technical architect who understands that "perfecting a prompt" is a rigorous engineering discipline. You will leverage advanced APG/APO tools and manual refinement to ensure our automated systems meet—and exceed—human accuracy baselines in both German and English contexts. - The Mission: Automated Quality at Scale - Architectural Migration: Take full ownership of the end-to-end technical migration of templates to LLM autoraters. - Optimization Leadership: Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and logic deadlocks. - Metrics-Driven Excellence: Continuously measure quality against "gold data" baselines, tracking precision, recall, and F1 scores to justify launch readiness. - Edge-Case Engineering: Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools cannot solve. Qualifications - Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field. - 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning. - High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance. - Fast learner capable of mastering proprietary internal tools and "Goose API" style interfaces with minimal oversight. Requirements - Native fluency in Japanese and professional fluency in English. - Part-Time (Set your own hours within project milestones). - 100% Remote (Must be currently based in Japan). - Freelance / Independent Contractor. Preferred Technical Skills - Familiarity with shadowbot monitoring and disagreement tracking between human and LLM ratings. - Hands-on experience with Chain-of-Thought (CoT) prompting and APO systems. - Deep linguistic expertise, including a strong understanding of semantics and formal logic. - Proven ability to draft high-level Launch Certification Documentation. Company Description Join our team at Welo Data and embark on a journey of growth and innovation.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Language Model Evaluator Type: Full-time or Part-time Contract Work Compensation: $23/hour Location: Geography restricted to Egypt, Saudi Arabia, UAE, USA Role Responsibilities - Evaluate LLM-generated responses on their ability to effectively answer user queries. - Conduct fact-checking using trusted public sources and external tools. - Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies. - Assess reasoning quality, clarity, tone, and completeness of responses. - Ensure model responses align with expected conversational behavior and system guidelines. - Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines. Qualifications - Must-Have: - Bachelor’s degree - Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Arabic - Significant experience using large language models (LLMs) - Excellent writing skills - Strong attention to detail - Adaptable and comfortable moving across topics, domains, and customer requirements - Background or experience in domains requiring structured analytical thinking - Excellent college-level mathematics skills - Preferred: - Prior experience with RLHF, model evaluation, or data annotation work - Experience writing or editing high-quality written content - Experience comparing multiple outputs and making fine-grained qualitative judgments - Familiarity with evaluation rubrics, benchmarks, or quality scoring systems Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process Details - For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.