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 Analyst to contribute to an AI technology project. The ideal candidate will have a foundational understanding of machine learning, data annotation, data handling, quality assurance, and natural language processing. They will play a pivotal role in updating our machine-learning models and ensuring their efficacy.
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: $35 Hourly (negotiable based on experience)
Preferred Qualifications
Bachelor’s degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
Experience with machine learning models, data annotation, and quality assurance.
Strong analytical skills with the ability to identify patterns and anomalies.
Familiarity with command-line tools and interfaces.
Ability to work in a fast-paced, collaborative environment.
Excellent communication skills.
Additional Information:
This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.
Key Responsibilities
Machine Learning Model Updates:
Update training and test model databases with new or amended synthetic textual and image data.
Modify and refine machine learning data creation, annotation, and rating guidelines.
Model Training and Evaluation:
Initiate model training processes using internal tools and command-line interfaces.
Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.
Data Management and Annotation:
Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
Handle data efficiently, ensuring its integrity throughout the workflow.
Engage in data relevance tasks, ensuring data sets are aligned with project goals.
Annotate data accurately, ensuring it adheres to set guidelines.
Quality Assurance and Analysis:
Conduct manual quality analysis of model results.
Recognize error patterns and report anomalies for further investigation.
Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
Implement basic quality control measures and ensure the reliability of processed data.
Utilize intermediate data analysis techniques to extract insights and inform decision-making.
Arbitrate discrepancies effectively, ensuring consistent data quality.
Linguistic and NLP Tasks:
Apply basic knowledge of natural language processing and linguistics to data processing tasks.
Ensure linguistic accuracy in all processed and annotated data.
Requirements
Fluency in English, both written and spoken
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
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.