Natural language annotator Job at One Forma

Mint

Participants will be requested to review and annotate bilingual text across the ...

Location

Salary:

Not provided

One Forma

Expiration Date

Until further notice

Requirements

Being a native speaker/highly proficient in both source and target languages

Job Responsibility

Review and annotate bilingual text across the language pair assigned, evaluating both source and target text quality
Evaluate the source text itself for naturalness and language correctness
Annotations will be done following an annotation schema provided by our client
Tasks will be done on our online platform
Review AI-generated translations for accuracy, fluency, and idiomatic usage
Ensure translations follow the grammar and syntax rules of the target language

Lead Applied Scientist Security Models Training Team

The Security Models Training team is expanding to drive the development of a new...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
Proven hands-on experience of at least 8 years (including post-grad work) in building and deploying Machine Learning products
Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
Demonstrated ability to set long‑term technical strategy, align multiple teams, and serve as a technical decision‑maker for high‑risk, high‑impact investments
Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios

Job Responsibility

Technical Leadership & Ownership: set technical direction for major security domain initiatives and align roadmaps across multiple teams
lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
translate cutting‑edge research into production‑ready capabilities
This role influences portfolio‑level technical tradeoffs, investment prioritization, and long‑term architecture decisions for security models
Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
Design & Evaluate Datasets – Build high-quality datasets and benchmarks
define objective evaluation frameworks and quality gates
run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions

Fulltime

Data Entry Clerk

AI is the most transformational technology of our time, capable of tackling some...

Location

Netherlands , Den Haag

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
Speak, write, and read fluently in German

Job Responsibility

Maintain and follow strict confidentiality as customer privacy is our most important tenet
Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly
Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio
Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
Eye for detail and ability to pivot from one category of requirement to another instantaneously
Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
Demonstrate ownership in floor support to clarify internal queries during execution on need basis

Linguist

Join our team as a passionate Lingüist and help shape compelling language soluti...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Demonstrated passion for linguistics, language structure, and communication
Exceptional written and verbal communication skills in both English and target language(s)
Educational background in Linguistics, Applied Linguistics, or a related field
Attention to detail with a commitment to linguistic accuracy
Proven ability to work independently and manage priorities in a remote setting
Strong teamwork skills and willingness to collaborate closely with peers and project leads
Open mindset, eager to learn, and comfortable with feedback

Job Responsibility

Analyze, review, and edit written materials for linguistic accuracy, style, and clarity
Contribute to the development and maintenance of linguistic resources such as glossaries, style guides, and corpora
Support language data annotation and quality assurance processes
Collaborate with cross-functional teams to ensure the linguistic integrity of diverse projects
Participate in linguistic research to identify trends and inform project strategy
Provide feedback to improve natural language processing models and language tools
Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Fulltime

AI/ML & Data Engineer

Location

India , Chennai

Salary:

Not provided

Congruent

Expiration Date

Until further notice

Requirements

4~6 years in ML/NLP, preferably in document-heavy domains (finance, legal, policy)
Languages: Python, SQL
AI/ML/NLP: Hugging face transformers, OpenAI API, Spacy, Scikit-Learn, LangChain, RAG, LLM prompt-tuning, LLM fine-tuning
Vector Search: Pinecone, Weaviate, FAISS
Data Engineering: Airflow, Kafka, OCR (Tesseract, pdfminer)
MLOps: MLflow, Docker

Job Responsibility

Data Ingestion and Preprocessing: Ability to build and maintain data pipelines to ingest unstructured data from PDFs, gazettes, HTML circulars etc. and process data extraction, parsing, and normalization
NLP & LLM Modeling: Ability to fine-tune or prompt-tune LLMs for summarization, classification, and change detection in regulations. Ability to develop embeddings for semantic similarity.
Knowledge Graph Engineering: Ability to design entity relationships (regulation, control, policy) and implement retrieval over Neo4j or similar graph DBs.
Information Retrieval (RAG): Ability to build RAG pipelines for natural language querying of regulations.
Annotation and Validation: Ability to annotate training data by collaborating with SMEs and validate model outputs
MLOps: Ability to build CI/CD for model retraining, versioning, and evaluation (precision, recall, BLEU, etc.)
API and Integration: Ability to expose ML models as REST APIs (FastAPI) for integration with product frontend.

Principal/Senior Applied Scientist Security Models Training Team - Next-Gen frontier research

The Security Models Training team is expanding to drive the development of a new...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
Proven hands-on experience of at least 5 years (including post-grad work) in building and deploying Machine Learning products
Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios

Job Responsibility

Technical Leadership & Ownership: set technical direction for major security domain initiatives
lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
translate cutting‑edge research into production‑ready capabilities
Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
Design & Evaluate Datasets – Build high-quality datasets and benchmarks
define objective evaluation frameworks and quality gates
run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets, with attention to privacy, governance, and long‑term reuse across security scenarios

Fulltime

Japanese audio collection projects

The Voice Command Audio Collection Project focuses on collecting natural speech ...

Location

Japan , Tokyo

Salary:

Not provided

Sigma AI

Expiration Date

Until further notice

Requirements

Fluent in the language you are applying for
Knowledge of English is optional
Mobile phone with Android OS
Minimum 4GB RAM
Microphone and webcam
Operating system: Windows 10 or higher, macOS 13 Ventura or higher
All OS updates installed and supported by the vendor
Stable internet connection
Headphones
Secure internet location, protected by a strong password

Job Responsibility

Produce a total of 500 short utterances, completed across two recording sessions
Deliver recordings in a natural, conversational tone, with expressive and realistic intonation to reflect everyday voice interactions

Italian audio collection projects

The Voice Command Audio Collection Project focuses on collecting natural speech ...

Location

Italy

Salary:

Not provided

Sigma AI

Expiration Date

Until further notice

Requirements

Fluent in the language you are applying for
Knowledge of English is optional
Mobile phone with Android OS (Tablets and iOS devices are not supported)
Minimum 4GB RAM
Microphone and webcam
Operating system: Windows 10 or higher or macOS 13 Ventura or higher
All OS updates installed and supported by the vendor
Stable internet connection
Headphones
Secure internet location, protected by a strong password

Job Responsibility

Produce a total of 500 short utterances, completed across two recording sessions
Deliver recordings in a natural, conversational tone, with expressive and realistic intonation to reflect everyday voice interactions

Natural language annotator

One Forma

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 16, 2026

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