261 marketing 2023 English-speaking jobs in Nouvelle-Aquitaine

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.

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

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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

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.

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.

Annotate and evaluate DevOps-related datasets, infrastructure configurations, and automation scripts to improve AI model understanding of DevOps practices.

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.

Backend Engineer Annotator needed to review, annotate, and validate backend engineering datasets, code samples, and system designs. Requires a Bachelor's degree in a related field and experience with authentication systems, microservices, and cloud platforms.