Data Analyst (AI Evaluation)

Jobgether SRL; United States; Remote; USD 65,000 - 90,000; Full time

Benefits offered by this job

Flexible remote work

Competitive compensation

Contract-based project work

Opportunity to impact AI evaluation

Job summary

Jobgether SRL, listed on behalf of a partner company, seeks a Data Analyst (AI Evaluation) for a remote contractor role in the United States. You will review datasets and task outputs to assess accuracy and adherence to evaluation criteria.

No prior AI experience required; you bring 3–5 years in data analysis and meticulous QA, with aptitude for documenting findings and providing actionable feedback to improve AI systems.

Qualifications

• 3–5 years of experience in data analysis or quality assurance.
• Proven ability to review data and outputs against defined criteria.
• Strong ability to follow detailed written instructions and rubrics.
• Analytical reasoning to decide in ambiguous situations.
• Excellent written and verbal communication for documenting findings.
• Highly organized and capable of remote work with consistency.
• Baseline spreadsheet skills; SQL or querying experience is a plus.

Responsibilities

• Review datasets and task outputs for accuracy, completeness and consistency.
• Identify errors, omissions, and outputs not meeting requirements.
• Apply evaluation rubrics consistently across high volumes of data.
• Make defensible decisions when guidelines are incomplete or ambiguous.
• Provide clear written/verbal feedback with actionable resolutions.
• Identify recurring quality issues and escalation needs.
• Maintain high accuracy on repetitive data-review tasks.

Skills

Data analysis

Quality assurance

Attention to detail

Documentation

Analytical reasoning

Communication

Tools

SQL

Excel

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst (AI Evaluation) based in the United States.

This is a remote contractor opportunity for a detail-oriented data professional contributing directly to the development and evaluation of next-generation AI systems. You will review datasets and task outputs to assess accuracy, completeness, consistency, and adherence to detailed evaluation criteria. Your analytical judgment will help identify errors, inconsistencies, and recurring quality issues that can influence how AI models learn and perform. The role combines structured data review with critical thinking, requiring you to make well-reasoned decisions when guidelines are incomplete or situations are ambiguous. You will work with high volumes of data while maintaining exceptional attention to detail and consistency. Clear documentation and actionable feedback will be essential to helping improve data quality and evaluation processes. No previous AI experience is required, making this an opportunity to apply your existing analytical expertise to an emerging technology environment.

Accountabilities:

• Review datasets and detailed task outputs systematically to assess accuracy, completeness, consistency, and compliance with established guidelines.
• Identify, document, and flag errors, inconsistencies, omissions, and outputs that do not meet specified requirements.
• Apply structured evaluation rubrics and quality criteria consistently across large volumes of data and review assignments.
• Use sound analytical judgment to evaluate ambiguous cases, interpret available guidance, and make defensible decisions when instructions are incomplete.
• Provide clear written and verbal feedback that precisely identifies issues, explains their impact, and recommends appropriate resolution paths.
• Identify recurring patterns, systemic data-quality issues, and trends that require escalation or further investigation rather than isolated correction.
• Maintain a high level of accuracy and consistency while completing repetitive, high-volume data review tasks.
• Follow detailed procedures and quality standards carefully while adapting to evolving project requirements and evaluation guidelines.

Requirements:

• Bring 3--5 years of experience in data analysis, data review, data quality, quality assurance, or another analytical discipline.
• Demonstrate proven experience reviewing, validating, auditing, or critiquing data, deliverables, or other structured outputs against defined criteria.
• Possess an exceptional ability to follow detailed written instructions and apply complex evaluation rubrics accurately and consistently.
• Demonstrate strong analytical reasoning and the ability to make well-supported decisions in situations where guidelines may be incomplete or ambiguous.
• Have excellent attention to detail and a proven ability to identify subtle errors, inconsistencies, and quality issues across high-volume work.
• Possess strong written and verbal communication skills, particularly for documenting findings, explaining rationale, and providing actionable feedback.
• Be highly organized and capable of maintaining consistent quality and productivity across repetitive assignments.
• Demonstrate strong independent judgment, reliability, and the ability to work effectively in a remote environment.
• Have baseline proficiency with spreadsheets, including sorting, filtering, and simple formulas.
• Experience with SQL, data querying, or other analytical tools is a plus.
• Prior experience working with artificial intelligence or machine learning is not required; strong domain expertise and analytical judgment are the primary focus.

Benefits:

• Remote contractor opportunity with flexible participation in AI-focused data quality projects.
• Opportunity to apply existing data and analytical expertise to the development and evaluation of next-generation AI systems.
• Direct contribution to improving how AI models learn, reason, and perform through high-quality real-world data and evaluation.
• No prior artificial intelligence experience required.
• Opportunity to work on emerging AI initiatives while leveraging established professional expertise.
• Competitive and attractive compensation package.
• The contractor nature of the role provides an opportunity to contribute to project-based work remotely.