Catalan Linguist

Ascendion

United States

Remote

USD 50,000 - 60,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Paid time off
Job training programs

Job summary

A leading digital engineering firm in the United States seeks a Catalan Linguist to produce high-quality content for AI training and perform linguistic analysis. This position requires a Bachelor's degree in Linguistics and experience with phonetic transcription, data annotation, and socio-linguistic understanding. As part of a dynamic team, you will develop annotation guidelines and evaluate model outputs. The company offers competitive benefits and fosters a culture of innovation and inclusion.

Qualifications

  • Bachelor's degree (or higher) in Linguistics, Language Studies, or a related field is required.
  • Experience with IPA and phonetic transcription across Catalan language is necessary.
  • Strong hands-on experience with data annotation and evaluation tasks.

Responsibilities

  • Produce high-quality content for AI training and locale-specific training.
  • Perform data annotation, transcription, and quality validation.
  • Conduct linguistic analysis and apply socio-linguistic knowledge.

Skills

Data annotation
Phonetic transcription
Technical proficiency
Socio-linguistic understanding
Basic Python skills

Education

Bachelor’s degree in Linguistics or related field

Tools

Excel
GT+
Sage Maker

Job description

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This range is provided by Ascendion. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$40,000.00/yr - $60,000.00/yr

Direct message the job poster from Ascendion

Associate Manager – Talent Acquisition at Ascendion

About Ascendion

Ascendion is a full service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

  • Build the coolest tech for the world’s leading brands
  • Solve complex problems – and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands‑on experience

Experience a community of change makers!

Join a culture of high performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the role

Job Title – Catalan Linguist

Location – Remote

Roles and Responsibilities
  • Produce high‑quality content for AI training, benchmarking, and locale‑specific training across assigned languages.
  • Perform detailed data annotation, transcription, and quality validation using internal tools such as GT+ and Sage Maker.
  • No coding is required, but basic technical proficiency is expected.
  • Develop and refine annotation guidelines in collaboration with the internal team.
  • Conduct linguistic analysis and apply socio‑linguistic knowledge, including regional conventions and language variation.
  • Prompt LLMs to generate targeted responses and evaluate model outputs for accuracy and quality.
  • Support general English tasks during language‑specific downtime.
  • Assist with cross‑functional projects including Bedrock‑related tasks or other AI initiatives.
  • Participate in onboarding and follow provided guidelines to ensure consistency of deliverables.
  • Work closely with a final review linguist during interview and project phases.
Minimum Qualifications
  • Bachelor’s degree (or higher) in Linguistics, Language Studies, or a related field.
  • Experience with IPA and phonetic transcription across Catalan language.
  • Extensive hands‑on experience with data annotation and evaluation, including:
    • Labeling and reviewing model outputs.
    • Human evaluation tasks such as rating and ranking.
    • Generating query and answer pairs or similar content.
    • NER (named entity recognition) annotation.
  • Familiarity with LLM evaluation workflows and the challenges associated with LLM‑generated content.
  • Basic technical skills such as Excel (including formulas and visuals), Python, or command line tools.
  • We do not require mastery, but experience should be strong enough to list confidently on a resume.
  • Ability to apply socio‑linguistic understanding including dialects, regional variation, and language conventions.
Desired Qualifications
  • Experience implementing or using quality metrics in annotation or evaluation workflows.
  • Experience with data processing or automation techniques.
  • Familiarity with annotation tools and frameworks used in AI or NLP environments.
  • Experience working with multilingual datasets or multiple language families.
Salary Range

The salary for this position is between $50,000 to $60,000 USD annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits

The Company offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) retirement plan
  • Long‑term disability insurance
  • Short‑term disability insurance
  • 5 personal days accrued each calendar year
  • Paid time off benefits meet the paid sick and safe time laws that pertain to the City/State
  • 1015 days of paid vacation time
  • 6 paid holidays and 1 floating holiday per calendar year
  • Ascendion Learning Management System
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