Data Analysis Specialist at Welocalize

San Francisco, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field, and demonstrate the ability to work effectively in a fast-paced, collaborative environment. Familiarity with command-line tools and interfaces, along with strong analytical skills to identify patterns and anomalies, is preferred. Additional familiarity with translation or multi-lingual data sets can be beneficial for future projects.

Responsibilities

The Data Analysis Specialist will update training and test model databases with new data, modify and refine machine learning data creation guidelines, initiate model training processes, evaluate model performance, design and develop test datasets, handle data efficiently and accurately, annotate data according to guidelines, conduct manual quality analysis, recognize and report anomalies, deliver detailed reports on findings, implement quality control measures, apply basic knowledge of natural language processing and linguistics, and ensure linguistic accuracy in processed data.

Skills

Data Analysis

Machine Learning

Data Annotation

Quality Assurance

Natural Language Processing

Analytical Skills

Command-line Tools

Pattern Identification

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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