AI Data Collection Team Lead — Remote

Task Us

United States

Remote

USD 54,000 - 82,000

Full time

6 days ago
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with company match
Paid time off (vacation, sick leave, &

Job summary

TaskUs is seeking a Data Collection Operator for remote work in the United States. You will operate AR/VR hardware, perform scripted activities for AI data collection, and ensure data quality while adhering to security protocols.

This role requires physical aptitude and reliable transportation to local site locations as needed. You will join a fast-growing BPO-like team focused on AI data collection, with training and supervision designed to support overnight and flexible schedules across

Qualifications

  • Ability to operate AR/VR devices and wear equipment up to 8 hours.
  • Carry or lift up to 50 pounds as required.
  • Reliable transportation to various local facility sites.

Responsibilities

  • Troubleshoot VRs and Gloves.
  • Travel to site to retrieve SD cards for daily ingestion.
  • Inspect and monitor data collection of TMs.
  • Work with minimal supervision on overnight shifts.
  • Respond to client chats and report data collection status.
  • Wear AR/VR devices and operate hardware during shifts.
  • Perform scripted activities for data collection.
  • Follow protocol guidelines and taxonomy updates.
  • Perform real-time data quality checks and basic equipment maintenance.
  • Maintain site security and adhere to NDAs.

Skills

Tech aptitude
Attention to detail
Logistics

Job description

TaskUs is seeking a Data Collection Operator for remote work in the United States. You will operate AR/VR hardware, perform scripted activities for AI data collection, and ensure data quality while adhering to security protocols.

This role requires physical aptitude and reliable transportation to local site locations as needed. You will join a fast-growing BPO-like team focused on AI data collection, with training and supervision designed to support overnight and flexible schedules across

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