Data Review Analyst
Match GroupIreland4 days ago
Full-timeInformation Technology
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As a Data Review Analyst, you will play a key role in supporting the Match Group Shared Care & Moderation Services Team by completing a variety of labeling requests. This role involves both straightforward labeling tasks and more nuanced analysis across multiple platform ecosystems. You’ll apply your understanding of Trust & Safety, detection systems, and moderation workflows to ensure consistent, accurate, and high-quality review and annotation.
You’ll be part of a cross-functional, collaborative team that directly supports product, data science, analytics, and policy teams through scalable, insight-driven data labeling and review.
How you’ll make an impact:
Complete task requests, including:
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being
Financial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security
Unplug – Generous PTO and 14 paid holidays so you can unplug
Career – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work
Family – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts
Company Gatherings – We host company events where our employees get to know each other and build a sense of connection and belonging!
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.
If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.
#MG
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
You’ll be part of a cross-functional, collaborative team that directly supports product, data science, analytics, and policy teams through scalable, insight-driven data labeling and review.
How you’ll make an impact:
- Structured labeling and annotation tasks
- Ad hoc data reviews requiring critical thinking and contextual judgment
- Analyze patterns and surface insights across labeling outputs
- Follow documented guidelines to ensure consistency and accuracy in decision-making
- Maintain confidentiality and data integrity across sensitive datasets
- Prior experience in Trust & Safety, content moderation, QA, or data labeling
- Strong attention to detail and a commitment to high-quality output
- Clear written and verbal communication, especially when documenting rationale or edge cases
- Ability to interpret platform policies and apply them consistently across data review tasks
- Comfort working independently in a structured queue-based environment
- Experience working across multiple brands, languages, or international markets
- Willingness to learn and adapt across different platform ecosystems
- Comfort with ambiguity in early-stage projects or exploratory analysis
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being
Financial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security
Unplug – Generous PTO and 14 paid holidays so you can unplug
Career – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work
Family – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts
Company Gatherings – We host company events where our employees get to know each other and build a sense of connection and belonging!
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.
If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.
#MG
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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