Annotation Specialist II

<div class="content-intro"><h2><strong>About AlphaSense: </strong></h2> <p style="text-align: justify;"><span style="font-size: 12pt;">The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. </span></p> <p style="text-align: justify;"><span style="font-size: 12pt;">The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!</span></p></div><h3>The Role:</h3> <p>AlphaSense is seeking a motivated, detail-oriented Annotations Specialist II to play an expanded role in advancing data annotation and analysis for AI model training and evaluating AI-based model outputs.</p> <p>The successful candidate will join a dynamic team of AI researchers and product managers focused on developing next-generation Generative AI (GenAI) features for market intelligence. In this 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.</p> <h3>Who You Are: </h3> <ul> <li>MBA in Finance (or related field) paired with an undergraduate degree in Finance, Accounting, or Commerce (B.Com/M.Com/BMS/BBA).</li> <li>Minimum <strong>2+ years</strong> of professional experience in financial research, data annotation, or financial data operations.</li> <li>Fluency in financial statements, corporate filings, earnings calls, and capital market dynamics.</li> <li>Proven ability to manage complex data projects with an absolute zero defect standard and strategic rigor.</li> <li>Exceptional communication skills to translate domain nuances into actionable insights for engineering leaders.</li> <li>Ability to clearly explain technical and financial edge cases to research engineers.</li> <li>Ability to thrive in a fast paced environment both independently and collaboratively.</li> <li>Proficiency with workspace tools (G Suite, MS Excel/Office)</li> </ul> <h3>What You'll Do:</h3> <ul> <li>Lead the curation, structuring, and benchmarking of complex financial datasets used to fine tune state of the art LLMs.</li> <li>Serve as a subject matter authority alongside AI Research Engineers in evaluating complex model behaviors, diagnosing edge cases, and mitigating hallucination risks.</li> <li>Establish best in class data guidelines and validation frameworks to act as the ultimate gatekeeper for production ready GenAI features.</li> <li>Drive tool pipeline innovation by identifying pipeline bottlenecks and designing automated, scalable workflows for data teams.</li> <li>Provide strategic feedback to build faster, smarter internal annotation tools and data pipelines.</li> <li>Act as the final gatekeeper for a