Temp Analyst-Data Labeling at SRI International
Menlo Park, CA 94025, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Nov, 25

Salary

18.0

Posted On

29 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Skills

Industry

Information Technology/IT

Description

Overview:
SRI’s Menlo Park office is currently developing a skills assistance system for simple medical procedures under the ARPA-H PARADIGM program. We are looking for temporary support to help with data labeling to accelerate our machine learning process. This would be on-site at our headquarters in Menlo, Park, CA.

Responsibilities:

  • Assess quality of videos for obvious errors
  • Label segments of videos with activity labels taken from a predefined list
  • Assess general characteristics of the videos
  • Note unusual conditions

Qualifications:

  • Computer skills that include ability to operate a web browser
  • Ability to systematically follow a template and keep good records
  • Must be authorized to work in the US – no work visa sponsorship

The salary range is: $18.00/hr. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI’s Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.
SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace

Responsibilities
  • Assess quality of videos for obvious errors
  • Label segments of videos with activity labels taken from a predefined list
  • Assess general characteristics of the videos
  • Note unusual condition
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