Volga Partners is a technology company that provides innovative solutions and services to clients. With expertise in ML, AI, and crowd management, we deliver high-quality software development, data annotation, content management, data mining, analytics...
Enter your details and select criteria for the jobs you want to receive.
Volga Partners is hiring remote 1099 independent contractors with US legal expertise to review and refine AI-generated legal writing for an ongoing AI model evaluation project.
Volga Partners is hiring a freelance entry-level language data contributor to support AI quality operations through structured review, labeling, and translation tasks for leading technology platforms.
AI Evaluation & Annotation Specialists at an AI-focused company will review, annotate, and assess LLM outputs to improve accuracy and consistency in production workflows.
Volga Partners is hiring remote US legal experts with paralegal experience to evaluate and refine AI-generated legal writing for an ongoing legal-model training project.
Volga Partners is hiring U.S. Legal Experts with paralegal experience to evaluate and refine AI-generated legal writing for an advanced language model project.
Volga Partners is hiring a China-based Junior Auditor to support multilingual data labeling, annotation, and quality review work that helps improve global search engine results for regional languages and dialects.
Volga Partners is hiring a Peru-based Junior Auditor to support multilingual data labeling, annotation, and quality review work that helps improve global search results for regional languages and dialects.
AI Evaluation & Annotation Specialists at an AI training company review, label, and improve Large Language Model outputs for accuracy and consistency within structured project workflows.
AI Evaluation & Annotation Specialists at an AI company help train and improve large language models by reviewing, correcting, and labeling AI-generated content under structured quality guidelines.
Volga Partners is hiring a mid-level AI Engineer to build and ship production-ready AI-powered features and internal tools for real-world business use cases.
Volga Partners is hiring a German- and English-speaking Language Data and Quality Reviewer for an ongoing, remote freelance task-based project supporting data analysis, labeling, quality review, and related work for a global client.
AI Evaluation & Annotation Specialists at an AI company review and label AI-generated language data to help train and improve large language models.
Volga Partners is hiring a remote freelance Language Data and Quality Reviewer to support task-based data work for a client, focused on Finnish and English language datasets in an ongoing project.
Volga Partners is hiring remote AI Writing Evaluators to assess and compare the writing quality of leading AI models on a fixed 2-week retainer project focused on domain-specific prompts, evaluations, and feedback.
Volga Partners is hiring a remote freelance Language Data and Quality Reviewer to support an ongoing task-based project for a client, focused on reviewing, analyzing, and working with data in Swedish and English.
Volga Partners is hiring a Danish Language Data and Quality Reviewer for a remote, freelance task-based project supporting AI and machine learning work for a global client.
AI Evaluation & Annotation Specialists at a company training and improving large language models review, annotate, and evaluate AI-generated content to support accuracy and consistency in model outputs.
Volga Partners is hiring remote AI Writing Evaluators for a fixed 2-week retainer project to create domain-specific prompts and assess AI-generated writing for quality and US contextual alignment.
Freelance, entry-level language data operator at Volga Partners supporting global AI language projects by executing structured, high-volume content review, annotation, and quality checks to produce accurate training and evaluation data for client platforms.
AI Evaluation & Annotation Specialist on a global AI data team, responsible for reviewing, annotating, and evaluating AI-generated responses to improve LLM accuracy and consistency.
