کار از راه دور: Data Annotator

این آگهی را micro1 برای موقعیت Data Annotator منتشر کرده است. این موقعیت در دسته «سایر حوزه‌ها» جای می‌گیرد و به‌طور کامل دورکاری است. شرکت هیچ محدودیتی برای محل زندگی داوطلب نمی‌گذارد، پس می‌توانید از همان جایی که زندگی می‌کنید درخواست بدهید.

کارفرما رقمی اعلام نکرده است و این موضوع در مصاحبه روشن می‌شود. آگهی درباره ساعت کاری هیچ شرطی نگذاشته است.

این موقعیت از یک بررسی خودکار گذشته است: آگهی‌هایی که مجوز کار خارجی، اسپانسر ویزا، تابعیت مشخص یا سکونت در کشوری معین می‌خواهند، به این فهرست نمی‌رسند.

Role Title: Data Annotator Role Type: Contractor Location: Remote micro1 is engaging Data Annotators to contribute expertise to a client-driven project focused on high-quality data labeling. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work

* Precisely annotate video and audio samples according to detailed project guidelines and protocols.

* Review, validate, and enhance existing annotations to maximize data accuracy and consistency.

* Identify, flag, and document edge cases and ambiguous data points for further clarification.

* Collaborate with project coordinators to clarify annotation criteria and resolve uncertainties.

* Maintain meticulous records of completed annotations and submit deliverables within established milestones.

* Provide feedback on annotation tools and workflow for continuous process improvement.

* Ensure all annotated data meets quality assurance standards and project requirements.

Preferred Qualifications

* Demonstrated experience in data annotation, especially with video and audio content.

* Exceptional attention to detail and a methodical approach to complex data tasks.

* Proficiency in both written and verbal English communication.

* Ability to interpret and execute highly specific annotation instructions.

* Experience working independently on remote projects with minimal supervision.

* Strong analytical skills, with the ability to make objective decisions about nuanced data.

* Familiarity with data labeling platforms or annotation tools (a plus).

Originally posted on Himalayas