Ofertas de empleo en Innodata Inc.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata

is a global leader in

data engineering and AI solutions

, serving more than

2,000 customers

with operations across

13 cities worldwide

We are a trusted AI solutions provider for

4 of the world's top 5 technology companies

, as well as leading organizations in

finance, insurance, technology, legal, and healthcare

sectors.

Through a powerful combination of

Machine Learning and Artificial Intelligence (ML/AI)

, a highly skilled global workforce, and a

secure infrastructure

, we help shape the future of AI.

Our global team includes

5,000+ employees

across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.

??

About The Role

We are seeking a

highly analytical and detail-oriented Linguistics Expert

to support

AI model training initiatives

and

linguistic content creation

This role is ideal for professionals with a strong academic background in

linguistics

and a passion for language, technology, and clear communication.

You will play a critical role in developing and improving

large language models (LLMs)

and

Natural Language Processing (NLP)

systems by curating, annotating, and evaluating high-quality linguistic data.

Job Title

Linguistics Expert – AI Training & Content Writing

• Spain | ??? Spanish
  
  

??

Experience Level

Bachelor's, Master's, or PhD in Linguistics or a related field.

??

Key Responsibilities

Create and edit linguistically rich content (grammar guides, syntactic analysis, usage explanations, NLP examples).

Identify and resolve issues related to

ambiguity, bias, and grammatical accuracy

Perform

quality assurance (QA)

on model outputs (fluency, tone, factual accuracy, and linguistic appropriateness).

Annotate linguistic datasets with

syntactic, semantic, and pragmatic labels

Conduct linguistic research and summarize findings for internal teams.

Evaluate model behavior, error patterns, and generalization issues from a linguistic perspective.

Requirements

Strong understanding of

linguistic theory and language structure

Experience (preferred) In One Or More Of The Following

Computational linguistics

Corpus analysis

Linguistic data annotation

LLM training

Excellent

writing, editing, and communication

skills.

Strong interest in

AI, technology, and advanced linguistic applications

??

Why Join Innodata?

Work on real-world

cutting-edge AI projects

Collaborate with a

diverse global team

Make a direct impact on the development of

advanced language models

Be part of an innovative and fast-growing organization

??

Interested?

Please send your

updated CV

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata

is a global leader in

data engineering and AI solutions

, serving more than

2,000 customers

with operations across

13 cities worldwide

• We are a trusted AI solutions provider for
  
  

4 of the world's top 5 technology companies

, as well as leading organizations in

finance, insurance, technology, legal, and healthcare

sectors.

Through a powerful combination of

Machine Learning and Artificial Intelligence (ML/AI)

, a highly skilled global workforce, and a

secure infrastructure

, we help shape the future of AI. Our global team includes

5,000+ employees

across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.

??

About The Role

We are seeking a

highly analytical and detail-oriented Linguistics Expert

to support

AI model training initiatives

and

linguistic content creation

This role is ideal for professionals with a strong academic background in

linguistics

and a passion for language, technology, and clear communication.

You will play a critical role in developing and improving

large language models (LLMs)

and

Natural Language Processing (NLP)

systems by curating, annotating, and evaluating high-quality linguistic data.

Job Title

Linguistics Expert – AI Training & Content Writing

• Spain | ??? Spanish
  
  

??

Experience Level

Bachelor's, Master's, or PhD in Linguistics or a related field.

??

Key Responsibilities

Create and edit linguistically rich content (grammar guides, syntactic analysis, usage explanations, NLP examples).

Identify and resolve issues related to

ambiguity, bias, and grammatical accuracy

Perform

quality assurance (QA)

on model outputs (fluency, tone, factual accuracy, and linguistic appropriateness).

Annotate linguistic datasets with

syntactic, semantic, and pragmatic labels

Conduct linguistic research and summarize findings for internal teams.

Evaluate model behavior, error patterns, and generalization issues from a linguistic perspective.

Requirements

Strong understanding of

linguistic theory and language structure

Experience (preferred) In One Or More Of The Following

Computational linguistics

Corpus analysis

Linguistic data annotation

LLM training

Excellent

writing, editing, and communication

skills.

Strong interest in

AI, technology, and advanced linguistic applications

??

Why Join Innodata?

Work on real-world

cutting-edge AI projects

Collaborate with a

diverse global team

Make a direct impact on the development of

advanced language models

Be part of an innovative and fast-growing organization

??

Interested?

Please send your

updated CV

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata

is a global leader in

data engineering and AI solutions

, serving more than

2,000 customers

with operations across

13 cities worldwide

• We are a trusted AI solutions provider for
  
  

4 of the world's top 5 technology companies

, as well as leading organizations in

finance, insurance, technology, legal, and healthcare

sectors.

Through a powerful combination of

Machine Learning and Artificial Intelligence (ML/AI)

, a highly skilled global workforce, and a

secure infrastructure

, we help shape the future of AI. Our global team includes

5,000+ employees

across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.

??

About The Role

We are seeking a

highly analytical and detail-oriented Linguistics Expert

to support

AI model training initiatives

and

linguistic content creation

This role is ideal for professionals with a strong academic background in

linguistics

and a passion for language, technology, and clear communication.

You will play a critical role in developing and improving

large language models (LLMs)

and

Natural Language Processing (NLP)

systems by curating, annotating, and evaluating high-quality linguistic data.

Job Title

Linguistics Expert – AI Training & Content Writing

• Spain | ??? Spanish
  
  

??

Experience Level

Bachelor's, Master's, or PhD in Linguistics or a related field.

??

Key Responsibilities

Create and edit linguistically rich content (grammar guides, syntactic analysis, usage explanations, NLP examples).

Identify and resolve issues related to

ambiguity, bias, and grammatical accuracy

Perform

quality assurance (QA)

on model outputs (fluency, tone, factual accuracy, and linguistic appropriateness).

Annotate linguistic datasets with

syntactic, semantic, and pragmatic labels

Conduct linguistic research and summarize findings for internal teams.

Evaluate model behavior, error patterns, and generalization issues from a linguistic perspective.

Requirements

Strong understanding of

linguistic theory and language structure

Experience (preferred) In One Or More Of The Following

Computational linguistics

Corpus analysis

Linguistic data annotation

LLM training

Excellent

writing, editing, and communication

skills.

Strong interest in

AI, technology, and advanced linguistic applications

??

Why Join Innodata?

Work on real-world

cutting-edge AI projects

Collaborate with a

diverse global team

Make a direct impact on the development of

advanced language models

Be part of an innovative and fast-growing organization

??

Interested?

Please send your

updated CV

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About The Role

We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

Job Title

Linguistics Expert – AI Training & Content Writing

Key Responsibilities

Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.

Identify and resolve issues related to ambiguity, bias, and grammaticality.

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.

Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.

Support internal teams by conducting linguistic research and summarizing findings.

Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.

Qualifications

Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

Next Steps

To proceed further in the evaluation process, you will need to complete two assessments:

Assessment Test

Evaluates your linguistic and analytical skills

Link

Please ensure your camera is turned on while completing the test.

Versant English Proficiency Test

Focuses on assessing your spoken and written English proficiency

A

C1 or C2 level

is required to qualify

Once both assessments are successfully completed, you will be eligible for onboarding.

Arabic Language test

Action Required: XConnect Registration

You will also receive an invitation to our internal job platform,

XConnect

• Please take a few minutes to register and complete your profile. All project onboarding, communication, and documentation are managed through this platform.
  
  

If interested, kindly share your resume at: ******

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About The Role

We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

Job Title

Linguistics Expert – AI Training & Content Writing

Key Responsibilities

Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.

Identify and resolve issues related to ambiguity, bias, and grammaticality.

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.

Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.

Support internal teams by conducting linguistic research and summarizing findings.

Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.

Qualifications

Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

Next Steps

To proceed further in the evaluation process, you will need to complete two assessments:

Assessment Test

Evaluates your linguistic and analytical skills

Link

Please ensure your camera is turned on while completing the test.

Versant English Proficiency Test

Focuses on assessing your spoken and written English proficiency

A

C1 or C2 level

is required to qualify

Once both assessments are successfully completed, you will be eligible for onboarding.

Arabic Language test

Action Required: XConnect Registration

You will also receive an invitation to our internal job platform,

XConnect

• Please take a few minutes to register and complete your profile. All project onboarding, communication, and documentation are managed through this platform.
  
  

If interested, kindly share your resume at: ******

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About The Role

We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

Job Title

Linguistics Expert – AI Training & Content Writing

Key Responsibilities

Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.

Identify and resolve issues related to ambiguity, bias, and grammaticality.

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.

Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.

Support internal teams by conducting linguistic research and summarizing findings.

Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.

Qualifications

Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

Next Steps

To proceed further in the evaluation process, you will need to complete two assessments:

Assessment Test

Evaluates your linguistic and analytical skills

Link

Please ensure your camera is turned on while completing the test.

Versant English Proficiency Test

Focuses on assessing your spoken and written English proficiency

A

C1 or C2 level

is required to qualify

Once both assessments are successfully completed, you will be eligible for onboarding.

Arabic Language test

Action Required: XConnect Registration

You will also receive an invitation to our internal job platform,

XConnect

• Please take a few minutes to register and complete your profile. All project onboarding, communication, and documentation are managed through this platform.
  
  

If interested, kindly share your resume at: ******