Welocalize

AI Data Specialist

United States

Not SpecifiedCompensation
Entry Level & New Grad, Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Data AnnotationIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Data Science, Linguistics, or Computational Linguistics, or a related field. The role requires familiarity with command-line tools and interfaces, strong analytical skills to identify patterns and anomalies, and the ability to thrive in a fast-paced, collaborative environment. Familiarity with translation or multi-lingual datasets is a plus.

Responsibilities

The AI Data Specialist will update training and test model databases with synthetic textual and image data, and modify data creation, annotation, and rating guidelines. They will initiate model training processes, evaluate model performance, and design/develop test and training datasets. Responsibilities include managing data efficiently, annotating data accurately, conducting manual quality analysis of model results, recognizing error patterns, and reporting anomalies. The specialist will deliver detailed reports on findings, implement quality control measures, utilize data analysis techniques, arbitrate discrepancies, and apply knowledge of natural language processing and linguistics to data processing tasks.

Skills

machine learning
data annotation
quality assurance
natural language processing
synthetic data
data management
data analysis
LLM evaluation
ASR bug tracking

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

Benefits

Accident Insurance
Critical Illness Insurance
Hospital Indemnity Insurance
Telemedicine Benefit
Paid Sick Time
Paid Holidays
Employee Assistance Program
Mileage Reimbursement
Medical Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
Voluntary Life Insurance
401(k) Retirement Plan

Risks

Competition from AI-driven tools like DeepL and Google Translate threatens market share.
Rapid AI advancements may commoditize basic translation services, pressuring differentiation.
Economic uncertainties in key industries could reduce spending on localization services.

Differentiation

Welocalize's OPAL platform uses AI to streamline translation and content adaptation processes.
The company offers specialized linguistic validation services for clinical trials and healthcare.
Welocalize's TranslationRater™ plugin for ChatGPT enhances translation quality assessment capabilities.

Upsides

Growing demand for AI-driven localization boosts Welocalize's market opportunities.
Rising interest in multilingual e-learning aligns with Welocalize's expertise.
Healthcare sector's AI integration offers new service expansion opportunities for Welocalize.

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