
1001 - 5000 employees
Founded 2020
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Volga Partners is a technology services firm that specializes in Artificial Intelligence and Machine Learning solutions, data annotation and labeling, and development of customer service platforms powered by generative AI. The company also provides IT and software development services across web, app, full-stack, cybersecurity advisory, and e-commerce support, supported by a large multilingual crowd workforce and remote on-demand resources. Volga Partners focuses on partnering with enterprise clients to deliver scalable, cost-effective AI tooling, content moderation, linguistic services, and managed software projects.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $25 - $50 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🔧 QA Engineer (Quality Assurance)
🦅 H1B Visa Sponsor
👻 Ghost score 2%
Where this job comes from
Posted on Volga Partners's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

1001 - 5000 employees
Founded 2020
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Volga Partners is a technology services firm that specializes in Artificial Intelligence and Machine Learning solutions, data annotation and labeling, and development of customer service platforms powered by generative AI. The company also provides IT and software development services across web, app, full-stack, cybersecurity advisory, and e-commerce support, supported by a large multilingual crowd workforce and remote on-demand resources. Volga Partners focuses on partnering with enterprise clients to deliver scalable, cost-effective AI tooling, content moderation, linguistic services, and managed software projects.
• Evaluate AI-generated pharmaceutical content for accuracy, completeness, consistency, and compliance with industry standards • Review scientific and regulatory information related to quality systems, manufacturing, validation, submissions, development, and compliance activities • Analyze whether AI-generated conclusions are supported by scientific principles, regulatory expectations, and industry best practices • Identify unsupported claims, technical inaccuracies, missing context, and flawed reasoning • Reference FDA requirements, GMP regulations, ICH guidelines, and accepted pharmaceutical industry practices • Provide expert feedback, explain findings, and recommend technically accurate corrections • Apply project-specific evaluation criteria, scoring guidelines, and quality standards • Complete independent evaluations using designated online platforms within project timelines
• Minimum 4 years of pharmaceutical QA experience • Bachelor's degree or higher in Pharmacy, Pharmaceutical Sciences, Chemistry, Biotechnology, or a related discipline • Experience with GMP-regulated environments • Understanding of QMS, CAPA, deviations, and change control systems • Strong analytical and technical review skills • Ability to critically evaluate technical and regulatory information • Strong analytical, research, and problem-solving skills • Excellent written English communication skills • Ability to work independently and follow detailed review instructions • Comfortable working within a task-based freelance engagement model • Quality Systems leadership experience preferred • Inspection readiness experience preferred • Supplier quality management experience preferred • ASQ certification or equivalent quality credentials preferred • Experience managing post-approval changes and variations preferred • Technical writing or document review experience preferred • Familiarity with AI evaluation, data annotation, or quality review activities preferred • Experience with AI model evaluation, large language models (LLMs), research, or structured quality assessments beneficial but not required
• Remote work arrangement • Flexible, assignment-based schedule • Project-based work suitable for supplemental income • Opportunity to contribute to advanced AI technologies • Experience contributing to AI evaluation initiatives • No AI background required
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