531 English-speaking jobs in Nouvelle-Aquitaine

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.

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.

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 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.

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 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.

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

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.

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 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.

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.

Web Data Analyst Annotator analyzes, annotates, and validates web datasets for AI training. Extracts structured information, evaluates webpage quality, and collaborates with data operations teams. Requires a bachelor's degree and 3-5 years of experience in data analysis, research, annotation, or web analytics.

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

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.