What are the responsibilities and job description for the Data Specialist Team Lead position at Welocalize?
Overview
Welo Data is seeking a Data Specialist Team Lead to contribute to an AI technology project. The ideal candidate will have a foundational understanding of machine learning, data annotation, data handling, quality assurance, and natural language processing., along with strong leadership skills to guide and mentor their team. They will play a pivotal role in updating our machine-learning models and ensuring their efficacy.
Project Details
Job Title: Data Specialist Team Lead
Location: Onsite office in Portland
Hours: 40 hours weekly
Start date: ASAP
Employment Type: W2 Full-Time Employee
Pay rate: $20.50 hourly
Key Responsibilities
To know more details (Click here)
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.
Welo Data is seeking a Data Specialist Team Lead to contribute to an AI technology project. The ideal candidate will have a foundational understanding of machine learning, data annotation, data handling, quality assurance, and natural language processing., along with strong leadership skills to guide and mentor their team. They will play a pivotal role in updating our machine-learning models and ensuring their efficacy.
Project Details
Job Title: Data Specialist Team Lead
Location: Onsite office in Portland
Hours: 40 hours weekly
Start date: ASAP
Employment Type: W2 Full-Time Employee
Pay rate: $20.50 hourly
Key Responsibilities
- Team Leadership and Management:
- Lead, mentor, and grow a team of data annotators and quality analysts.
- Ensure team members are trained, informed, and adhere to company standards and best practices.
- Oversee team performance, set goals, and conduct regular evaluations.
- Strategic Oversight:
- Collaborate with senior management to define strategic goals and deliverables.
- Allocate resources and tasks efficiently among team members.
- Act as a bridge between the annotation team and other departments, ensuring effective communication.
- Quality Assurance and Analysis:
- Oversee quality assurance processes and set benchmarks for performance and accuracy.
- Review and approve detailed reports on findings prepared by team members as needed.
- Drive continuous improvement initiatives within the team based on analytics and performance metrics.
- Technical Expertise:
- Stay updated with the latest in machine learning, data annotation, and natural language processing.
- Address complex technical challenges faced by the team.
- Provide guidance on advanced annotation techniques and quality analysis.
- Linguistic and NLP Leadership:
- Guide the team in applying best practices in NLP and linguistics.
- Ensure consistent linguistic accuracy across all processed and annotated data.
- Additional Information:
- This role primarily focuses on English US data sets; however, having experience with translation or multi-lingual data sets can be advantageous.
- Bachelor's degree or experience in Data Science, Linguistics or Computational Linguistics, Communication or a related field.
- Prior experience in a leadership role within a data annotation or machine learning team.
- Proven track record of team management, mentorship, and performance optimization.
- Strong analytical skills with the ability to derive actionable insights from data.
- Deep understanding of data annotation, data evaluation, and quality assurance
- Paid Sick Time
- Employee Assistance Program
- Following eligibility requirements: Medical Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Voluntary Life Insurance
- Accident, Critical Illness,Hospital Indemnity Insurance
- 401(k) Retirement Plan
To know more details (Click here)
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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