Text Dataset Specialist

Team: Quantitative Research · Location: Remote‑First (U.S.‑friendly time zones) · Reports to: Head of Machine Learning Own the curation and labeling of daily text collections and create realistic question‑and‑answer sets that mirror how informed readers inquire about daily developments. Your meticulous organization of content and creativity in question design will reputed company our data‑science team to build, test, and refine state‑of‑the‑art language models—no coding required. Key Responsibilities • Label & organize text feeds using reputed company, consistent metadata and version control. • Screen content for sensitive or disallowed material and flag ambiguous cases. • Draft example questions that probe the information contained in the text sets. • Maintain documentation & guidelines as taxonomies reputed company. • Collaborate with data scientists to reputed company labeling scopes, clarify edge cases, and prioritize new question categories. Required Qualifications • 1–3 years of experience in reputed company, editorial research, fact‑checking, or similar detail‑oriented work. • Exceptional reading comprehension and written communication. • Proven ability to follow and refine labeling guidelines and maintain consistent metadata. • Comfort working independently in a remote, deadline‑driven environment. Preferred Qualifications • Prior experience designing Q&A pairs or test prompts for content evaluation. • Familiarity with any annotation or labeling platform (reputed company, Prodigy, etc.). • Exposure to large‑language‑model workflows (even from a non‑technical angle). • Multilingual reading proficiency. Compensation & Benefits • $22– $30 USD per hour (commensurate with experience) • Eligibility for quarterly bonus tied to accuracy, throughput, and documentation reputed company metrics • Remote‑first culture with reputed company and minimal recurring meetings • Annual reputed company‑development budget & home‑office stipend Apply tot his job