AlphaSense - Research Quality Analyst, Channel & Customer Research
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Requirements
• You have 1–3+ years of experience in a role focused on quality assurance, content review, copy editing, research, or data analysis. • You possess an exceptional eye for detail and a commitment to producing high-quality work. • You are highly analytical and intellectually curious, with the ability to quickly understand new concepts and identify inconsistencies in data and text. • You have excellent written and verbal communication skills, with experience editing and proofreading professional documents. • You are comfortable working collaboratively in a fast-paced, cross-functional environment. • You have a strong interest in technology and artificial intelligence; experience with AI or large language models is a significant plus. • For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. • You may also be offered a performance-based bonus, equity, and a generous benefits program.
Responsibilities
• Perform rigorous quality assurance on Gen Grid Channel Check outputs to ensure data accuracy, grammatical correctness, and adherence to stylistic guidelines. • Audit and edit all project-related documentation—including AI prompt sheets, questionnaires, and project briefs—to ensure clarity, consistency, and effectiveness. • Collaborate with the research team to identify, troubleshoot, and resolve quality issues throughout the project lifecycle. • Assist in developing and refining AI prompts to improve the quality and accuracy of AI-generated research outputs. • Help develop and maintain quality assurance checklists and documentation to standardize best practices across the team. • Track and analyze quality metrics to identify trends, report on findings, and recommend process improvements. • Support the research team in testing new AI-driven research tools and workflows, providing critical feedback on functionality and output quality.
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