Benefits:

Bonus based on performance

Competitive salary

Home office stipend

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 equip 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 clear, 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 evolve.

Collaborate with data scientists to adjust labeling scopes, clarify edge cases, and prioritize new question categories.

Required Qualifications

1–3 years of experience in data annotation, 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 (Labelbox, 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 quality metrics

Remote‑first culture with flexible hours and minimal recurring meetings

Annual professional‑development budget & home‑office stipend

This is a remote position.