Data Specialist Team Lead (Remote)

United States

AI Services – AI Service General Application /Full Time/ Remote

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.

OVERVIEW

Welocalize is seeking a data specialist team lead located in the United States to contribute to an AI technology project. The ideal candidate will possess both technical prowess in machine learning and natural language processing, along with strong leadership skills to guide and mentor their team.

This is a full-time, remote position in which you will be doing basic data handling and quality control.

Project Details

Job Title: Data Analysis Specialist

Location: Remote (Must be based in the US)

Hours: 40 hours weekly, 1 year commitment

Start date: ASAP

Employment Type: W2 Full-Time Employee

Pay Rate: $40 Hourly (negotiable based on experience)

Requirements

• Fluency in English
• Must be located in the United States and be 18+ years old
• Proficient in web navigation and able to work efficiently in a fast-paced environment
• Ability to follow instructions in English and comply with the project conventions and rules expected by the client
• Must sign a Non-Disclosure Agreement to protect client confidentiality
• Must successfully complete a quality test designed by our client before starting work

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.
• 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.
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• 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.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics 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 machine learning models, data annotation, and quality assurance.
• Excellent communication and interpersonal skills.

• Additional Information:
• This role primarily focuses on English US data sets; however, having experience with translation or multi-lingual data sets can be advantageous.

Benefits

• 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

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.