**Role & seniority: ** Software Tester (contract), likely mid-level/individual contributor

**Stack/tools: **

Multimodal dataset review/annotation (text, images, spreadsheets, structured documents)
QA auditing against project guidelines/rubrics
Tools not explicitly stated (focus on dataset annotation and validation)

**Top 3 responsibilities: **

Annotate, categorize, and validate large-scale multimodal datasets per strict guidelines
Audit AI outputs for hallucinations, formatting errors, and prompt deviations
Identify edge cases, labeling ambiguities, and data inconsistencies to improve taxonomies

**Must-have skills: **

Strong reading comprehension, logical reasoning, and attention to subtle errors
Native-level English fluency and exceptional written communication
Ability to evaluate work against strict rubrics/guidelines (required/strongly preferred)
Meet daily volume targets while maintaining rigorous QA standards
Reliable high-speed broadband and quiet workspace for remote work

**Nice-to-haves: **

Experience evaluating creative or technical work against strict guidelines/rubrics

**Location & work type: **

Remote (Contract)
Applicants must currently reside in Australia, Canada, Ireland, New Zealand, or the United States
Note: applications from other regions will be rejected; text also states geographically located within the US or Canada (inconsistent—follow p

Full Description

Role: Software Tester (Remote)

Location: Remote (Australia, Canada, Ireland, New Zealand, United States)

Employment Type: Contract

Location: Applicants must currently reside in Australia, Canada, Ireland, New Zealand or the United States.

We are looking for a detail-oriented Software Tester to review, annotate, and structure multimodal datasets for advanced artificial intelligence models. You will play a crucial role in improving data quality across text, images, spreadsheets, and complex structured documents.

Annotate, categorize, and validate large-scale multimodal datasets according to strict project guidelines.
Audit AI system outputs to identify hallucinations, formatting errors, or deviations from user prompts.
Identify edge cases, labeling ambiguities, and data inconsistencies to help improve labeling taxonomies.
Consistently meet daily volume targets while upholding rigorous quality assurance standards.

Superb reading comprehension, logical reasoning, and a sharp eye for spotting subtle errors.
Experience evaluating creative or technical work against strict rubrics or guidelines is strongly preferred.
Native-level fluency in English with exceptional written communication skills.
Consistent, high-speed broadband connection and a quiet remote working environment.
Geographically located within the US or Canada (applications from other regions will be rejected).

We are an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.

Apply Now!