Volga Partners

Artificial Intelligence

• Review AI-generated responses and rate them for clarity, correctness, and relevance.
• Annotate and label content based on project-specific guidelines.
• Follow detailed written instructions and apply them consistently.
• Generate or evaluate prompts depending on assignment type.
• Work with QA Leads to apply feedback and continuously improve task quality.
• Report completed work daily and meet productivity and quality standards.

AI Evaluation, Annotation Specialist – Entry-Mid Level, Italian

AI Evaluation & Annotation Specialist, German

AI Evaluation and Annotation Specialist – Japanese

AI Evaluation, Annotation Specialist – Entry-Mid Level

Backend Engineer

• Build and maintain backend services and internal tools in Python for AI-powered applications.
• Integrate LLM APIs into production workflows, including prompt handling, response processing, validation, and retries.
• Design and implement scalable REST APIs, async workflows, and background job systems.
• Maintain and enhance components of a multi-language codebase (C#/C++, Python, web technologies) where applicable.
• Work with structured and unstructured data to prepare inputs, transform outputs, and support downstream systems.
• Develop systems for prompt management, model routing, response validation, and failure handling.
• Debug complex issues across backend logic, API integrations, and distributed services.
• Monitor system performance using telemetry tools and proactively identify and resolve bottlenecks.
• Automate recurring workflows related to data processing, evaluation, and reporting.
• Collaborate with cross-functional teams to turn ambiguous product ideas into production-ready features.
• Contribute to architecture decisions around scalability, performance, and safe use of AI systems.
• Write clean, testable, and maintainable code while helping establish engineering best practices for AI systems.

Software Development Engineer – AI, LLM Systems, Python Backend

Paralegal

• Review & Evaluate: Assess AI-generated legal documents, briefs, and responses for accuracy, clarity, and stylistic quality.
• Compare Outputs: Analyze responses from multiple AI models against one another to determine which best adheres to US legal writing conventions.
• Apply Legal Standards: Evaluate content based on critical legal writing dimensions, including:
• Terminological Precision: Correct usage of legal jargon and defined terms.
• Syntactic Accuracy: Clarity of sentence structure to ensure proper legal interpretation.
• Formal Tone: Appropriate use of legal voice and passive constructions where necessary.
• Structural Coherence: Logical flow of legal reasoning and argumentation.
• Perform Structured Assessments: Complete True/False evaluations and ranking tasks based on defined rubrics.
• Provide Expert Insight: Identify gaps in AI writing quality and help refine the criteria used to train the models.

AI Evaluation, Annotation Specialist – Entry-Mid Level, Italian

AI Evaluation & Annotation Specialist, German

AI Evaluation and Annotation Specialist – Japanese

AI Evaluation, Annotation Specialist – Entry-Mid Level

Software Development Engineer – AI, LLM Systems, Python Backend

US Legal Expert, Paralegal – AI Training