509 English-speaking jobs in Nouvelle-Aquitaine

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.

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.

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.

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.

Annotate, review, and validate language data for AI and NLP systems. Ensure accuracy, consistency, and cultural relevance.

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.

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.

Annotates image and video data for computer vision and machine learning model training. Performs tasks such as bounding box, polygon, and key point annotation, as well as semantic and instance segmentation. Requires 2+ years of experience in data annotation for computer vision projects and proficiency with annotation tools like CVAT, Label Studio, and 3D Slicer.

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.

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 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 Legal Data Analyst collects, analyzes, and interprets legal and regulatory data to support decision-making, compliance, and risk management. This role transforms complex legal information into actionable insights and supports the development of AI-driven legal solutions.

The Customer Support Coordinator assists customers with sales and service support. Responsibilities include parts sales order entry, maintaining customer relationships, and coordinating sales activities with the corporate office.

The Technical Advocate serves as a subject-matter expert on access equipment, applications, and regulations. They explain technical aspects of machines to customers, support complex applications, and translate customer feedback into actionable insights for engineering.

The Service Supervisor ensures customer satisfaction by resolving service issues, managing workflow, and communicating with service teams and product managers.

Information Extraction Specialist designs and implements pipelines to extract structured data from unstructured sources. Responsibilities include creating training datasets, evaluating model performance, and adapting systems to new domains. Requires 5+ years of experience in Information Extraction, NLP, or related fields, proficiency in Python and NLP libraries, and strong analytical and communication skills.

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.

Annotates image and video data for computer vision and machine learning model training. Performs tasks such as bounding box, polygon, and key point annotation, as well as semantic and instance segmentation. Requires 2+ years of experience in data annotation for computer vision projects and proficiency with annotation tools like CVAT, Label Studio, and 3D Slicer.