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Data Linguistic (Indonesian) (Contract)

Wipro

Data Linguistic (Indonesian) (Contract)

Wipro

Warsaw, Poland

·

On-site

·

Contract

·

2w ago

Job Description

With 900+ employees in Poland supporting over 45 clients, we leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. It is the freedom provided to every individual at Wipro to learn, grow, and create a career path that makes us an organization of opportunities beyond boundaries of region, age, gender, ability, and routine. We invite you to be a part of this experience!

Location and Work Mode: Hybrid working model, with three days in the office in a week from Warsaw.

Type of contract: Contract

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Linguist – Data Specialist (Ling II)

Role Overview:

The Linguist – Data Specialist (Ling II) is an early-career linguist focused on data-driven tasks such as data collection, annotation, and analysis. This role supports the development and evaluation of language technologies by providing high-quality linguistic data.

Key Responsibilities:

  • Data Collection & Annotation: Gathers and annotates linguistic data for use in training and evaluating language models and other i18n tools.

  • Quality Control: Reviews and validates annotated data to ensure accuracy and consistency.

  • Documentation: Maintains clear records of data sources, annotation guidelines, and project progress.

  • Continuous Learning: Develops expertise in new annotation tools, linguistic concepts, and data management practices.

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Qualifications:

  • Bachelor’s degree in general linguistics or computational linguistics, Computer Science, Speech Science, language studies, or a related field, plus 1–2 years of industry experience; OR a master’s degree with relevant experience (internship, thesis project, etc.).

  • Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics.

  • Experience with data annotation, linguistic analysis, or corpus management.

  • Strong attention to detail and organizational skills.

  • Familiarity with at least one annotation tool or platform.

  • Experience with database queries and data analysis processes (i.e. SQL, spreadsheets, or others)

  • Experience with Python

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Equal Opportunity Employer:

Wipro is an Equal Opportunity Employer. We provide consideration for all qualified applicants regardless of race, color, religion, gender, marital status, age, ethnicity, national origin, sexual orientation, political views, disability, or any other characteristic protected by law

Internal Reporting and Whistleblower Protection:

Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Candidates can submit internal reports via email to ombuds.person@wipro.com, through the Internet at www.wiproombuds.com, or by post/courier to Wipro's registered office.

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About Wipro

Wipro

Wipro

Public

A technology services and consulting company focused on building solutions that address clients' digital transformation needs.

10,001+

Employees

Bengaluru

Headquarters

$8.5B

Valuation

Reviews

3.1

10 reviews

Work-life balance

3.5

Compensation

2.3

Culture

3.8

Career

2.5

Management

2.2

45%

Recommend to a friend

Pros

Good training and learning opportunities

Flexible work hours and remote options

Supportive colleagues and teamwork

Cons

Low and uncompetitive compensation

Limited growth and career advancement opportunities

Poor management direction and support

Salary Ranges

41,395 data points

Intern

Intern · Data Scientist

0 reports

$119,586

total per year

Base

-

Stock

-

Bonus

-

$101,000

$138,000

Interview experience

5 interviews

Difficulty

2.0

/ 5

Duration

14-28 weeks

Offer rate

40%

Experience

Positive 100%

Neutral 0%

Negative 0%

Interview process

1

Application Review

2

Online Assessment/Aptitude Test

3

Technical Interview

4

HR Interview

5

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit