OVERVIEW
We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.
Project Details
Job Title: QA Analyst - Data Annotation Specialist
Location: On-site at one of our client's offices in Austin, TX
Hours: 40 hours weekly
Language: English (US)
Start date: Early February
Employment Type: W-2 Contract
Duration: 12 months
Pay rate: $28/Hour
Must have valid work authorization in the US (We do not sponsor VISAs at this time)
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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If you're on the lookout for an exciting opportunity in the heart of Austin, TX, as a Data Annotation Specialist with Welocalize, you've come to the right place! In this role, you'll step into the world of data quality assurance where your skills will directly influence high-profile technology projects. This position requires a solid understanding of data handling, and you'll need to be fully proficient in English (U.S.). As a vital part of our team, you'll collaborate closely with your peers to ensure that our project data is accurate and of the highest quality. Your responsibilities will include conducting data annotation and maintaining the confidentiality of sensitive information, all while keeping the work environment fun and engaging. And let’s not forget, you don’t need technical skills, but having a linguistic background is a big plus! Located on-site in Austin, you will enjoy a dynamic work environment with plenty of opportunities for teamwork. Your attention to detail and problem-solving skills will be paramount as you help us meet our project goals. Plus, our competitive pay rate of $28 per hour, comprehensive benefits, and a vibrant community make Welocalize a great place to work. So, if you're ready to dive into a year-long W-2 contract and enhance your career while contributing to groundbreaking projects, apply today and be part of something bigger!
Our mission is to be our clients trusted partner, sharing our broad expertise and valuable experience to create programs that deliver measurable results. The foundation of our success is defined by 4-Pillars: customer service, global teamwork, in...
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