Jobs at Volga Partners

Paid, one-time remote voice recording study contributing English speech data for AI research. Participants complete a guided session from a compatible device, follow instructions, and receive $25 on successful completion.

Source candidates globally for technical and non-technical roles, build proactive pipelines, conduct virtual screenings, evaluate and present candidate packages, partner with recruiters and hiring managers, and provide market intelligence to improve sourcing strategies and processes.

Source and screen candidates globally for technical and non-technical roles, build proactive talent pipelines, conduct virtual interviews and assessments, prepare candidate packages, collaborate with recruiters and hiring managers, and maintain ATS and market intelligence to deliver qualified candidates across 115+ countries.

Provide expert finance domain evaluation of AI-generated investment analyses: validate reasoning, identify factual or calculation errors, review valuation and financial models, create and refine prompts and benchmarks, annotate datasets, and deliver structured feedback to improve LLM performance while collaborating with project teams in a remote, project-based role.

Apply expert investment research and capital markets knowledge to evaluate AI-generated financial analyses, validate models and valuations, identify errors, create and refine prompts and benchmark datasets, and provide actionable feedback to improve LLM performance while meeting quality and turnaround expectations.

Design, build, and deploy production-grade backend services and LLM-powered applications. Implement RAG pipelines, integrate LLM providers, manage vector databases and embeddings, optimize performance, and collaborate with product and engineering teams to deliver secure, scalable AI solutions.

Use finance expertise to create realistic finance prompts, develop reference answers, and evaluate LLM outputs for accuracy, reasoning, completeness, and real-world applicability. Provide structured scoring, detailed feedback, and benchmarking to improve AI model quality. Work full-time on retainer with strict time-zone availability.

Paid remote study: complete a one-time guided English voice recording session (≈20 minutes) from your own compatible device. Participants should speak Chinese-influenced English (EN-ZH), be 18+, reside and record from an approved U.S. state, follow provided instructions, and will receive $18 for approved completion.

Lead design, architecture, development, and deployment of scalable full-stack enterprise applications and AI-powered products. Build backend services, APIs, web frontends, databases, and cloud infrastructure. Integrate third-party systems, implement security best practices, mentor engineers, drive architectural decisions, and participate in Agile planning.

Participate in a one-time, remote guided English voice recording session (~20 minutes) using your own compatible device. Must follow recording instructions, complete session in a quiet indoor environment, be at least 18, reside and record from an approved U.S. state, and submit one participation only. Approved participants who meet quality standards receive $25.

Paid one-time remote participation in an English voice recording study. Selected participants complete a guided ~20–30 minute session from home using a compatible device, follow recording instructions, and submit recordings for quality review to support AI speech research.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

The Product Manager will define strategy and execution plans for AI-powered products, collaborate with cross-functional teams, measure outcomes, and drive product discovery based on customer needs and market research.

Perform manual QA and technical troubleshooting for AR/VR hardware and software. Test performance, tracking, connectivity, and deployments (APKs/Windows). Reproduce and document defects in Jira, analyze logs, validate Unity/Unreal builds, and collaborate with engineers to resolve issues. Onsite role supporting PC-to-headset streaming and multiple hardware configurations.