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AlphaSense is seeking an Annotation Specialist II to advance data annotation and analysis for AI model training and evaluation of AI-based model outputs. You will join a dynamic team of AI researchers and product managers focused on developing next-generation Generative AI features for market intelligence.
In this expanded role, you will take on greater ownership of annotation quality, apply your finance background to review AI model outputs, and work closely with the team to ensure the functionality and quality of your assigned module.
Key responsibilities include:
- Lead the curation, structuring, and benchmarking of complex financial datasets used to fine-tune state-of-the-art LLMs
- Serve as a subject matter authority alongside AI Research Engineers in evaluating complex model behaviors, diagnosing edge cases, and mitigating hallucination risks
- Establish best-in-class data guidelines and validation frameworks to act as the ultimate gatekeeper for production-ready GenAI features
- Drive tool pipeline innovation by identifying bottlenecks and designing automated, scalable workflows for data teams
- Provide strategic feedback to build faster, smarter internal annotation tools and data pipelines
- Act as the final gatekeeper for accuracy before GenAI features go live
- Drive continuous improvements in internal tools, designing smarter workflows that accelerate data delivery and raise accuracy baselines
- Communicate project progress and timelines to stakeholders
- Stay informed on market trends in data annotation, financial data taxonomy, AI ethics, and emerging GenAI technology
About AlphaSense: Founded in 2011 and headquartered in New York City, AlphaSense is a market intelligence platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500. The company has more than 2,000 employees across offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. AlphaSense acquired Tegus in 2024 to expand its AI-driven market intelligence capabilities.
Requirements:
- MBA in Finance or related field, paired with an undergraduate degree in Finance, Accounting, or Commerce (B.Com/M.Com/BMS/BBA)
- Minimum 2+ years of professional experience in financial research, data annotation, or financial data operations
- Fluency in financial statements, corporate filings, earnings calls, and capital market dynamics
- Proven ability to manage complex data projects with an absolute zero-defect standard and strategic rigor
- Exceptional communication skills to translate domain nuances into actionable insights for engineering leaders
- Ability to clearly explain technical and financial edge cases to research engineers
- Ability to thrive in a fast-paced environment both independently and collaboratively
- Proficiency with workspace tools (G Suite, MS Excel/Office)
