Science Specialist

About Company:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud, "enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description:

Job Title: Science & Technology-Reviewer

Location: Pan India

Experience: 3+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles & Responsibilities:

Role Overview:

We are seeking a highly qualified Science & Technology Domain Reviewer to support the quality assurance of Large Language Model (LLM) evaluation projects. In this role, you will review domain-specific prompts, evaluate completed tasks for accuracy and quality, ensure adherence to project guidelines, and provide actionable feedback to maintain high annotation standards. Your expertise in science and technology will help ensure the reliability, consistency, and quality of AI evaluation data across a broad range of scientific and technological topics.

Key Responsibilities:

• Review and validate domain-specific prompts covering physics, chemistry, biology, engineering, artificial intelligence, computer science, emerging technologies, and related fields.
• Evaluate completed tasks to ensure factual accuracy, reasoning quality, completeness, technical correctness, and compliance with project guidelines.
• Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.
• Ensure prompts are challenging, relevant, and aligned with project objectives.
• Provide clear, constructive, and evidence-based feedback to contributors to improve task quality.
• Maintain consistency across reviews by following established quality standards and review guidelines.
• Escalate ambiguous or technically complex cases when necessary and document review findings.
• Collaborate with project managers and AI teams to continuously improve evaluation quality and review processes.

Minimum Qualifications:

• Master's degree or higher in Physics, Chemistry, Biology, Engineering, Computer Science, Information Technology, Artificial Intelligence, or another closely related Science & Technology discipline.
• Minimum 3 years of professional, research, teaching, or industry experience in a relevant science or technology field.
• Prior experience reviewing, evaluating, editing, or quality-checking technical or domain-specific content is preferred.
• Excellent written English communication and analytical skills.
• Strong attention to detail and the ability to identify factual, logical, and technical errors.

Preferred Qualifications:

• Experience reviewing AI-generated content, LLM evaluations, prompt engineering, or annotation quality.
• Familiarity with quality assurance, editorial review, or technical content evaluation workflows.
• Strong understanding of scientific principles, technological advancements, and emerging technologies.
• Ability to provide objective, evidence-based feedback while maintaining consistent quality standards.
• Experience working independently in a fast-paced, quality-focused environment.