Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoConsultor
• PublicadaNueva

Teletrabajo . iOS Machine Learning

We are currently looking for people to participate in our Lotus Remote Live Photo Collection project.

What is the project about?

The purpose of this project is to collect images of handwritten and printed text using the iOS live camera features on Apple devices. These images will be used to improve and train text recognition software.

Task Description:

You will need to submit live photos captured using Apple devices (iPhone or iPad) containing printed and handwritten text in Catalan.

Who is eligible?

To participate you should meet the following qualifying criteria:

• Be 18 years or older.
• Reside in Spain.
• Be able to follow guidelines in English.
• Be able to read and understand Catalan.
• Have an iPhone or iPad available for the task.

Where is the project taking place?

This is a fully remote project. You can participate from the comfort of your home or preferred location within the Catalunya region of Spain.

How much is the compensation?

You will receive $1 USD per accepted photo.

You can earn up to $40 USD by submitting a maximum of 20 photos with printed text and 20 photos with handwritten text.

As payment method, we offer PayPal and Gift Card, according to your preference.

Please note that all submissions will be checked by our Quality Assurance team and compensation will be provided for all the accepted photos.

If you have any doubts or questions, please don't hesitate to reach out to us at: [email protected]

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our division focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at https://www.transperfect.com/dataforce

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

. IoT Machine Learning

A CIM UPC volem incorporar un/a Doctor/a en enginyeria a la línia d'Indústria 4.0 a l'àrea de recerca.

Tareas

• Disseny, selecció i implementació de sistemes d'automatització industrial que inclouen PLCs, robots, IoT industrial i captura i anàlisi de dades en processos de fabricació.


• Desenvolupament d'algoritmes de Machine Learning i intel·ligència artificial per a aplicacions industrials.


• Creació de programari per a projectes d'innovació, incloent-hi aplicacions CAM per a robots d'impressió 3D de metall.


• Col·laboració amb equips multidisciplinaris de la UPC en projectes de recerca i transferència tecnològica.


• Elaboració de documentació tècnica i científica per a projectes de recerca i participació en la preparació de noves propostes.


• Interacció amb empreses industrials per facilitar la transferència de tecnologia i la implementació de solucions innovadores.

Requisitos

• Doctorat en enginyeria relacionada amb aquest àmbit.


• Coneixements sobre teconologies d'indústria 4.0.


• Valorable coneixements sobre temàtiques IA i gestió de dades.


• Experiència prèvia de mínim un any.

Beneficios

• Horari flexible d'entrada (de 7:30h a 9:30h).


• Jornada partida de dilluns a dijous i jornada intensiva els divendres.


• Jornada intensiva a l'estiu.

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

Teletrabajo . Cloud Coumputing AWS Machine Learning Salesforce

Devoteam es una consultora europea líder enfocada en estrategia digital, plataformas

tecnológicas, ciberseguridad y transformación empresarial a través de la tecnología.

Centrada en 6 áreas de especialización, abordamos los desafíos estratégicos de nuestros

clientes: Digital Business & Products, Data-driven Intelligence, Distributed Cloud, Business

Automation, Ciberseguridad y la Sostenibilidad conseguida por la Digitalización.

La Tecnología está en nuestro ADN y creemos en ella como una palanca capaz de impulsar

el cambio para mejorar, manteniendo un equilibrio que nos permite ofrecer a nuestros

clientes herramientas tecnológicas de primer nivel pero siempre con la cercanía y

profesionalidad de un equipo que actúa como guía durante el camino.

Nuestros 25 años de experiencia nos convierten en una consultora innovadora,

consolidada y madura que permite el desarrollo de nuestras 8.500 personas, certificando

continuamente a nuestros consultores en las últimas tecnologías y contando con expertos

en: Cloud, BI, Data Analytics, Excelencia en Procesos de Negocio, Gestión de la Relación

con clientes, Ciberseguridad, Marketing Digital, Machine Learning, Ingeniería y desarrollo

del Software.

Devoteam ha sido premiado como Partner del año 2021 de los 5 líderes de la nube: AWS,

Google Cloud, Microsoft, Salesforce y ServiceNow.

#CreativeTechForBetterChange

Descripción del empleo

Estamos en búsqueda de un perfil con experiencia en modelado de datos enterprise (conceptual, lógico y físico).

Conocimientos técnicos:

• Diseño y mantenimiento de modelos de datos relacionales y dimensionales.
• Modelado conceptual, lógico y físico.
• Modelado dimensional y desnormalización.
• Modelado transaccional y normalización.
• Experiencia en flujos de datos end‑to‑end (desde sistemas origen hasta datasets curados).
• Definición y aplicación de estándares de modelado, gobierno del dato y metadatos.
• Trabajo con repositorios centralizados de modelos y definiciones.
  
  
  

Skills:

• Capacidad de comunicación y colaboración con equipos de negocio y técnicos.
• Excelentes habilidades de comunicación en inglés (verbal y escrita).
• Habilidad para entender requisitos de negocio y traducirlos en modelos de datos escalables y futuros.
• Perfil analítico, con atención al detalle y foco en calidad del dato.
• Capacidad de asesoramiento y toma de decisiones en diseño de modelos.
• Hábito de documentación, seguimiento y alineamiento con estándares enterprise.
• Inglés fluido: C1
  
  
  

Valorable:

• Experiencia con herramientas de modelado (ER/Studio, Erwin o similares).
• Conocimientos en Databricks.
• Experiencia en datos no estructurados o modelado de grafos.
• Certificaciones en data modelling, data governance o herramientas de modelado.
  
  
  

La modalidad de trabajo es 100% en remoto.

Requisitos

Conocimientos técnicos:

• Diseño y mantenimiento de modelos de datos relacionales y dimensionales.
• Modelado conceptual, lógico y físico.
• Modelado dimensional y desnormalización.
• Modelado transaccional y normalización.
• Experiencia en flujos de datos end‑to‑end (desde sistemas origen hasta datasets curados).
• Definición y aplicación de estándares de modelado, gobierno del dato y metadatos.
• Trabajo con repositorios centralizados de modelos y definiciones.
  
  
  

Skills:

• Capacidad de comunicación y colaboración con equipos de negocio y técnicos.
• Excelentes habilidades de comunicación en inglés (verbal y escrita).
• Habilidad para entender requisitos de negocio y traducirlos en modelos de datos escalables y futuros.
• Perfil analítico, con atención al detalle y foco en calidad del dato.
• Capacidad de asesoramiento y toma de decisiones en diseño de modelos.
• Hábito de documentación, seguimiento y alineamiento con estándares enterprise.
• Inglés fluido: C1

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

Teletrabajo . Python Cloud Coumputing Jira Kafka Machine Learning

Description

Orfi is an AI notetaker for hiring teams. We analyze screening, behavioral, and technical interviews and provide insights into candidate skills. We aim to use AI to make hiring more efficient while keeping it human.

What You Will Do

• Build AI features that turn multimodal interview data into clear, reliable insights. Design multi-step analysis flows that combine audio, transcripts, screen recordings, and structured inputs into actionable reports for recruiters.
• Shape what AI features exist from concept to production. Work with recruiters, designers, and full-stack developers to define opportunities, decide what should be built, shape the solution, and drive it through delivery.
• Improve and refine existing AI workflows based on user feedback and data. Raise quality, cut waste, and keep the balance between performance and cost.
• Establish and maintain evaluation pipelines that measure performance, guide versioning, and validate improvements. Use results to choose approaches rather than rely on guesswork.
  
  

Requirements

• AI integration experience. Skilled at working with LLM APIs such as Anthropic or OpenAI, and comfortable using LangChain to orchestrate calls, manage context, caching, and prompt logic.
• Strong backend engineering with Python. Able to design and maintain production services, work with async workflows, understand the existing infrastructure, and operate confidently with APIs and cloud deployment.
• Ability to design multi-stage data pipelines. Comfortable identifying useful inputs, integrating new data sources, and building stepwise analysis flows from multimodal content.
• Practical experience collaborating with cross-functional teams to explore ideas, prototype quickly, and ship features without hand-holding.
• Solid observability skills. Able to set up monitoring, logging, and fallback strategies for production AI features.
• Upper intermediate or higher proficiency level in English
  
  

Nice To Have

• Experience building agentic or tool-based LLM workflows, including agentic reasoning loops.
• Experience with RAG, embeddings, retrieval systems, or vector databases.
• Experience with multimodal data processing, including audio, video, and images.
• Machine learning and NLP background beyond basic LLM usage. Practical experience training models, running evaluations, and working with standard metrics.
• Experience in early-stage startups or teams where autonomy and speed matter.
  
  

Tech Stack

• Python
• Kafka
• Helm
• GitLab, ArgoCD, Grafana, Sentry
• LangChain
• Anthropic, Assembly
  
  

What We Can Offer You

• Full-time remote collaboration with a convenient schedule. A space for professional freedom, where we trust your experience instead of wasting each other's time and effort micromanaging.
• A diverse and tight-knit team. Our teammates are spread across Europe – from Helsinki to Lisbon, our group calls are hilarious.
• Comfortable digital workspace. We use Miro, Notion, Google Workspace, Jira, etc., to make working together seamless.
• At this time, we are unable to offer H-1B, L-1A/B sponsorship opportunities.
• This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
  
  

• TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.

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

. Python Machine Learning

Overview

Job Reference: 406_25_ES_CES_RE1 Position: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

Closing Date: Sunday, 01 March, ****

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.

It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts the European HPC ecosystem.

The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.

BSC combines HPC service provision and R&D into computer and computational science under one roof, with over **** staff from 60 countries.

Context and Mission: The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the AI Factory initiative.

The AI Factory accelerates adoption and development of AI across industry sectors, deploying AI-focused services including training, networking, and innovation support.

The MareNostrum5 AI partition provides the computing backbone for these services.

The selected candidate will support AI services related to climate change use cases, coordinate availability and integration of AI software on MareNostrum5, and ensure smooth support for the AI Factory user community.

Responsibilities

Support the documentation and curation of AI software employed in the AI Factory

Support the deployment and maintenance of AI software on the MareNostrum5 AI partition

Design, implement, and optimize machine learning pipelines for environmental-related applications

Collaborate with domain scientists and external users to develop AI solutions

Support users from the AI Factory in accessing and utilizing AI tools and services

Participate in collaborative development within the AI Factory consortium

Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting

Requirements

Education

Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field

Essential Knowledge And Professional Experience

Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn

Proven experience in developing and training machine learning models, particularly deep learning architectures

Strong background in handling, analyzing, and validating large-scale datasets

Experience working in a UNIX-based computational environment

Additional Knowledge And Professional Experience

Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr)

Experience in high-performance computing (HPC) and parallelized machine learning workflows

Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/or distributed training using Dask

Understanding of climate and weather models

Competences

Strong problem-solving and analytical skills, with the ability to optimize computational workflows

Ability to work independently while collaborating effectively in a research environment

Excellent communication skills, with a strong ability to document and present research findings

Proficiency in written and spoken English

Conditions

The position will be located at BSC within the Earth Sciences Department

We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures

Duration: Open-ended contract due to project and budget considerations

Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December

Salary: Competitive salary commensurate with qualifications and experience, aligned with Barcelona cost of living

Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

A full CV in English including contact details

A cover/motivation letter with a statement of interest in English, clearly specifying the area and topics of interest; two references for further contact must be included

Recruitment process and equal opportunity

The selection will be carried out through a competitive examination system (Concurso-Oposición).

The process consists of two phases: Curriculum Analysis (40 points) and Interview phase (60 points).

A minimum of 30 points in the interview is required.

The recruitment panel will include at least three people with gender representation.

BSC adheres to OTM-R principles and promotes gender-balanced recruitment panels.

All participants will receive feedback after interviews.

For suggestions or complaints about recruitment processes, please contact ******.

For more information follow this link.

Deadline: The vacancy remains open until a suitable candidate is hired; applications are regularly reviewed.

OTM-R and equal opportunity

BSC-CNS is committed to the Code of Conduct for the Recruitment of Researchers and Open, Transparent and Merit-based Recruitment (OTM-R).

We are an equal opportunity employer and consider all qualified applicants regardless of protected characteristics.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 feb.

. 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
• Publicada24 feb.

. 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
• Publicada24 feb.

. 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
• Publicada24 feb.

. 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