Onsite Data Coordinator (Los Angeles)

Transperfect Translations International Inc.
Los Angeles, CA, United States
16 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Macintosh Computers Apple Mac Systems Augmented Reality Big Data Command-Line Interface Data Transmissions Data Integrity File Transfer Python (Programming Language) SAP Sales and Distribution Data Processing Storage Devices
+2 more
Virtual Reality Data Management

Job description

The Data Coordinator will be responsible for collecting, transferring, and managing data generated during onsite study sessions. This role involves retrieving data stored on SD cards from study locations, transporting the data to a designated TransPerfect office, and uploading it to the appropriate systems for client review., * Transport SD cards securely to the designated TransPerfect office for data transfer.

  • Upload collected data to the appropriate systems or platforms for client review.
  • Verify that data has been successfully uploaded before wiping the SD card.
  • Follow established procedures for data handling, transfer, storage, and deletion to maintain data integrity and confidentiality.
  • Return wiped SD cards to the appropriate study locations in a timely manner.
  • Coordinate pickup and drop-off schedules with onsite teams and project stakeholders.
  • Travel between multiple study locations and the designated office as required.
  • Troubleshoot basic technical issues related to Mac computers, iPhones, SD cards, file transfers, and data uploads.
  • Maintain accurate records of data pickups, transfers, uploads, and SD card returns.
  • Communicate any technical issues, delays, or discrepancies to the appropriate project team members.
  • Follow project instructions and security protocols throughout the data-handling process.

Requirements

Organizational Skills, Project Estimates, English Language, Data Management, Organizational Skills, Detail Oriented, Data Collection, Procedure Development, Data Quality, Time Management, Once the data has been successfully uploaded and verified, the Data Coordinator will securely wipe the SD card and return it to the corresponding study location. The role requires strong attention to detail, technical proficiency, and reliable transportation to travel between multiple locations., * Fluency in English, with clear and natural speaking ability.

  • Technical proficiency in operating Mac computers and iPhones.
  • Comfort using Terminal and command-line tools in macOS.
  • Strong troubleshooting and problem-solving skills.
  • Excellent attention to detail and the ability to maintain accurate, detailed records.
  • Ability to follow technical instructions and established data-handling procedures carefully.
  • Reliable transportation and the ability to travel between multiple onsite locations; access to a personal vehicle is strongly preferred.
  • Flexibility to work outside standard business hours, most likely starting after 3:00 PM PST, depending on when study sessions conclude.
  • Strong organizational, time-management, and communication skills.
  • Ability to work independently, manage time-sensitive tasks, and coordinate effectively with the project team.
  • Professionalism and a strong commitment to data integrity and confidentiality.

Preferred Qualifications

  • Some Python proficiency is beneficial but not required.
  • Experience using AR (Augmented Reality) or VR (Virtual Reality) devices is highly encouraged.
  • Previous experience with data management, file transfers, technical support, or similar coordination tasks is a plus.
  • Familiarity with SD cards, external storage devices, and large data transfers is an advantage.

About the company

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

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