AI Data Specialist at Welocalize

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor’s degree in Computer Science, Data Science, Linguistics, Computational Linguistics, or a related field (preferred)
3–5 years of experience in machine learning, data management, or natural language processing
Demonstrated ability to work effectively in a fast-paced, collaborative environment
Proficiency with command-line tools and interfaces
Strong analytical skills, with the ability to identify patterns, anomalies, and actionable insights
Excellent communication skills for reporting and cross-functional collaboration
Experience in NLP tools and techniques, with a deep understanding of linguistic concepts and their application in machine learning
Experience with quality assurance methodologies and tools for large-scale AI systems
Solid understanding of machine learning, data annotation, quality assurance, and natural language processing

Responsibilities

Maintain and update training and test model databases with new or revised synthetic textual and image data
Develop and improve data creation, annotation, and rating guidelines, ensuring alignment with project objectives
Collaborate with research and engineering teams to design and implement scalable solutions for updating and refining AI models
Execute and optimize model training processes using internal tools and command-line interfaces, ensuring accuracy and efficiency
Assess and evaluate trained model performance and provide actionable feedback for deployment readiness
Design, develop, and manage test and training datasets based on criteria from project leads
Ensure data integrity throughout the workflow and perform relevance assessments to meet project goals
Conduct precise data annotation aligned with established guidelines
Perform detailed manual quality checks on model results, identifying error patterns and anomalies for further investigation
Generate comprehensive reports on findings, covering aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points
Apply intermediate data analysis techniques to extract insights and inform decision-making
Ensure consistent data quality by resolving discrepancies and implementing quality control measures
Leverage knowledge of natural language processing (NLP) and linguistics for data processing tasks
Guarantee linguistic precision in all annotated and processed datasets
Stay at the forefront of NLP advancements and trends, incorporating innovative methodologies into ongoing projects

Skills

Machine Learning

Data Annotation

Natural Language Processing

Quality Assurance

Model Training

Data Management

Command Line Interfaces

Welocalize

Provides AI-driven content localization services

About Welocalize

Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.

New York City, New YorkHeadquarters

1997Year Founded

$33.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees