Data Annotation Expert with Linguistic Experience - South Bay, CA (On Site) at Welocalize

Menlo Park, California, United States

Welocalize Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
NoVisa
AI, TechnologyIndustries

Requirements

  • Valid work authorization in the US (no visa sponsorship)
  • University degree in linguistics, translation, or a related field (preferred)
  • 3-5 years of professional linguistics experience (preferred)
  • Strong analytical skills with the ability to detect patterns and anomalies
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment
  • Adaptability to evolving priorities and project requirements

Responsibilities

  • Test new AI products and provide actionable feedback to improve functionality and user experience
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness
  • Analyze data for consistency, relevancy, and alignment with project goals
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies
  • Use basic data analysis methods to extract insights and support continuous improvement
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback

Skills

Data Annotation
Linguistics
Quality Assurance
Data Analysis
Natural Language Processing
Machine Learning
Analytical Skills

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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