128 la rochelle English-speaking jobs in Nouvelle-Aquitaine

The Document Analyst reviews, verifies, and analyzes documents to ensure accuracy, authenticity, and compliance. Responsibilities include identifying document fraud, validating data, and collaborating with teams to refine annotation guidelines. Requires 3+ years of experience in document analysis, identity verification, or related fields.

Computational Linguist Annotator designs, implements, and evaluates annotation frameworks for advanced AI language systems. Develops annotation guidelines, collaborates with teams, and builds annotation interfaces. Requires a Bachelor's degree in Linguistics or a related field and 5+ years of experience in computational linguistics, language annotation, or NLP data operations.

Annotate and classify text and speech data to enhance AI models like chatbots and search engines.

The Trust and Safety Analyst investigates complex safety reports, enforces community standards, and mitigates online risks. This role requires experience in Trust & Safety, Risk Operations, or Intelligence Analysis within the tech/social media sector. Strong decision-making, emotional intelligence, and fluency in English are essential.

The AI Policy Reviewer evaluates AI-generated and user-generated content for compliance with internal and regulatory standards. This role assesses outputs for safety, bias, misinformation, and policy violations, ensuring consistent enforcement of AI usage guidelines.

The Risk Analyst identifies, assesses, and mitigates operational, financial, regulatory, and reputational risks. Analyzes data to detect vulnerabilities and recommends mitigation strategies. Partners with teams to build risk controls and ensure compliance.

Reviews and monitors user-generated content to ensure compliance with platform policies and community standards. Identifies and removes content that violates guidelines, including abuse, harassment, and hate speech. Provides feedback on moderation tools and workflows. Investigates content removal and account suspension cases.

Reviews AI-generated text, images, and code for accuracy, relevance, and adherence to ethical guidelines. Creates training datasets and audits reviewer work. Collaborates with teams to refine style guides and identify model improvement opportunities. Requires 2+ years of experience in content review, moderation, or quality assurance within tech or digital media. Familiarity with AI models and metrics is essential.

An RLHF Specialist improves AI models using Reinforcement Learning from Human Feedback. Responsibilities include designing feedback pipelines, generating preference data, and collaborating with engineers to analyze model performance. Requires experience in data annotation, model evaluation, and reinforcement learning concepts.

We seek a detail-oriented AI Trainer to develop and refine machine learning models. Responsibilities include training, evaluating, and analyzing model performance, creating training datasets, and guiding junior trainers. Requires 2+ years of experience in a relevant field, strong analytical skills, and familiarity with Python or APIs.

Evaluate and analyze large language models (LLMs) for accuracy, coherence, bias, safety, and alignment with guidelines. Provide feedback to improve model performance and identify potential vulnerabilities.

Experienced IT Infrastructure Manager needed to oversee, maintain, and improve IT systems and infrastructure. Requires 4+ years of experience managing networks, servers, and enterprise IT environments.

Experienced Linguist Annotator needed for remote, full-time role. Apply advanced linguistic expertise to create, curate, and validate training data for AI models. Annotate text, audio, or multimodal data, conduct error analysis, and develop annotation guidelines.

Data Operations Analyst needed to monitor, validate, and optimize data pipelines for AI, ML, and business intelligence projects. Analyzes datasets, ensures compliance, and supports teams in maintaining data reliability. Requires a bachelor's degree and 3-5 years of experience in data operations, analytics, or pipeline management.

QA Analyst ensures the quality, consistency, and reliability of datasets, AI outputs, and operational workflows. Reviews and evaluates data, identifies errors, and collaborates with teams to implement quality improvements.

Evaluates, annotates, and moderates video content to support AI training, content moderation, and digital media projects. Ensures videos meet quality, safety, and annotation standards.

Evaluates, categorizes, and annotates digital content to support AI systems. Reviews web pages, articles, and multimedia content to ensure datasets reflect real-world online communication patterns.

Designs, maintains, and optimizes datasets for AI, Machine Learning, and Large Language Model projects. Collaborates with data scientists and engineers to gather, clean, validate, and annotate datasets. Ensures datasets are ethically sourced, bias-free, and support robust model training and evaluation.

Evaluates cybersecurity datasets for AI model training. Identifies vulnerabilities, labels security scenarios, and validates AI-generated recommendations. Requires 3+ years cybersecurity experience, secure software development knowledge, and penetration testing expertise.

Full Stack Engineer Annotator assesses frontend and backend engineering datasets to ensure AI models accurately interpret full-stack workflows. Annotates application datasets, evaluates integration logic, and reviews UI interactions. Requires a Bachelor's degree and 3-5 years of experience as a Full Stack Developer with proficiency in modern frontend and backend technologies. Must hold a relevant certification.