Product Tester (Remote)
Hired
What the role involves
- Testing software changes
- Comparing observed results
- Recording reproducible failures
What they ask for
At least 18 years old; able to communicate in English; able to test software changes consistently; able to explain how test limitations affect confidence; reliable high-speed internet and suitable home-working setup; resident in an eligible country
About the job
- Role: Product Tester (Remote)
- Location: Remote (Australia, Canada, Ireland, New Zealand, United Kingdom, United States)
- Pay: US$18 per hour
Applicants must currently reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States.
Overview
We are recruiting contributors to test software changes for AI projects. You will use documented expected behaviour to guide your work and record findings about reproducible failures and their effect on user tasks for review.
Key Responsibilities
- Test software changes against documented expected behaviour.
- Follow each documented step and compare observed results with expected behaviour.
- Reproduce failures and record the conditions, steps, and impact.
- Note when an environment or data limitation reduces confidence in a result.
- Record findings about reproducible failures and their effect on user tasks and flag unresolved questions for review.
Requirements
- Must be at least 18 years old and able to communicate in English.
- Ability to test software changes consistently against documented expected behaviour.
- Ability to explain how test limitations affect confidence in a finding.
- Reliable high-speed internet and a suitable home-working setup.
- Previous experience in software testing, quality assurance or defect reporting is helpful but not required.
Equal Opportunity
We welcome applications from qualified individuals of all backgrounds. Applicants are considered based on relevant skills, qualifications and project eligibility requirements, without discrimination on grounds protected by applicable law.
Apply Now!
Industry: Artificial Intelligence / Data Labeling & Evaluation
Work Area: AI Training & Content Evaluation