Review and improve Spanish (US) customer service content, ensuring accuracy, consistency, and alignment with quality standards through second-pass reviews and feedback.
We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining Spanish (United States) customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.
What you’ll do
Conduct second-pass quality reviews to ensure overall linguistic accuracy and consistency across batches.
Validate and calibrate severity assessments to maintain alignment with quality standards.
Identify systemic MT quality issues, including recurring error patterns, tone mismatches, and terminology inconsistencies.
Provide high-level qualitative feedback that directly contributes to final quality reporting and continuous improvement efforts.
Project details
Language: Spanish (United States)
Content type: Customer service content (general)
Project duration: OngoingThis role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.
Hourly rate: $41.36
Requirements
- Native proficiency in Spanish (United States) and strong English skills.
- Experience in linguistic quality review, MT evaluation, or localization quality assurance.
- Strong familiarity with linguistic QA frameworks and error classification.
- Excellent attention to detail and a quality-focused, analytical mindset.
- Ability to work independently and provide clear, actionable quality feedback.
Top Skills
English
Spanish
WeLocalize New York, New York, USA Office
15 W 37th Street, 4th Floor, New York, NY, United States, 10018
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Analyze large healthcare datasets, build and maintain Power BI and Tableau dashboards, develop Python/PySpark data pipelines and ETL, optimize SQL and cloud big-data processes, and present insights to business stakeholders.
Top Skills:
Power Bi,Tableau,Python,Pyspark,Sql,Hadoop,Hive,Azure,Aws,Gcp,Etl
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, test, maintain and improve analytic reports and dashboards (Power BI/Tableau). Ensure reporting environment stability and data quality, collaborate with analysts and engineers, create compelling dashboards, validate against data warehouse, and participate in Agile processes and project team activities.
Top Skills:
Power Bi,Powerbi Desktop,Dax,Power Query,Power Bi Service,Power Bi Embedded,Power Bi Rest Api,Tableau,Snowflake,Sql,Python,R,Hl7,Fhir,Mmis,Data Warehouse
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead quality engineering for large-scale, high-availability systems by designing test automation frameworks (Selenium, Cypress), driving frontend/backend/API testing, integrating automated suites into CI/CD, mentoring teams, and improving test data generation, resiliency, and quality metrics across distributed teams.
Top Skills:
AWSCi/CdCypressJavaScriptAzurePythonSeleniumTest Automation Frameworks
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
