Part-Time Remote Data Entry Specialist – USA Remote Jobs

Part-Time Remote Data Entry Specialist Company: Netflix Job Title: Part-Time Remote Data Entry Specialist Salary: US $20-30 per hour (based on location/experience) organizer.bpong.com+2organizer.bpong.com+2 Shift Timing: Flexible part-time (approx. 15-25 hours/week) — you choose blocks that fit your schedule (e.g., afternoons, evenings, weekends) The EliteJob+1 Experience Level: Entry to Junior (0-2 years) — no previous specific industry experience required but strong typing/accuracy preferred Weekday Jobs+1 Job Description: As a Part-Time Remote Data Entry Specialist at Netflix, you will help maintain the integrity of critical data across our streaming platform. In this role, you’ll accurately input, update, and verify large volumes of content metadata, user information, or internal operational data. You’ll monitor data quality, check for inconsistencies, and collaborate remotely with team leads to ensure timely and precise deliverables. You’ll be working from a home office, managing your schedule, and meeting weekly targets for hours and accuracy. Key Responsibilities: Input data into internal systems with high accuracy, following predefined formats and guidelines. Verify and cross-check source information to avoid errors, missing entries or duplications. Maintain confidentiality of sensitive data (user-accounts, content metadata). Meet weekly targets for data volume and quality (error-rate thresholds). Provide feedback or suggestions for workflow improvements. Communicate remotely with supervisors and peers using collaboration tools. Required Skills & Qualifications: High school diploma or equivalent; further education is a plus. Strong attention to detail and comfort working with spreadsheets/data systems. Typing speed of ~45-60 wpm with high accuracy. Reliable home-office setup: fast internet connection, quiet workspace. Self-motivated, able to manage time and tasks with minimal supervision. Why this role? You gain remote work experience with a globally recognized brand, enjoy flexible scheduling, and build data-entry and operational skills that can support career growth into operations or content-support roles.