Remote Senior Machine Learning Data Linguist – Bilingual (Vietnamese / Polish / Norwegian) – AWS Bedrock AI Training & Annotation Specialist

Why Join Amazon Web Services (AWS) – The Cloud Leader Transforming the Future

Imagine working for a company that powers the digital infrastructure of the world’s most innovative startups, Fortune 500 giants, and everything in between. Amazon Web Services (AWS) is the global benchmark for cloud computing, offering a portfolio of services that span compute, storage, database, analytics, artificial intelligence, and more. Our relentless commitment to innovation, security, and scalability has made us the trusted partner for millions of customers worldwide.

At AWS, we don’t just provide technology – we enable transformations. From helping a biotech firm accelerate drug discovery to empowering a media startup deliver immersive streaming experiences, our services drive real‑world impact. As a Remote Senior Machine Learning Data Linguist on the Bedrock team, you’ll become an essential catalyst in this journey, shaping the next generation of generative AI models that understand, create, and interact with language at a human level.

About the Bedrock Team – Pioneering Generative AI at Scale

The Bedrock team sits at the heart of AWS’s generative AI platform, providing the high‑quality linguistic data that fuels cutting‑edge models such as text‑to‑text, text‑to‑image, and text‑to‑speech systems. Our mission is simple yet profound: produce the most accurate, unbiased, and ethically sound training data in the industry. By collaborating with language engineers, data scientists, and product managers, we ensure that AWS’s AI solutions are not only powerful but also responsible and trustworthy.

Key areas where Bedrock drives innovation include:

• Responsible AI – Detecting and mitigating biases, ensuring fairness, and upholding ethical standards.
• Reinforcement Learning from Human Feedback (RLHF) – Leveraging human‑in‑the‑loop evaluations to fine‑tune model behavior.
• Supervised Fine‑Tuning – Curating domain‑specific datasets for specialized applications such as finance, healthcare, and insurance.
• Human Content Evaluation – Conducting thorough reviews of model outputs for toxicity, relevance, and quality.

Position Overview – What It Means to Be an ML Data Linguist III

As a Remote Senior Machine Learning Data Linguist – Bilingual (Vietnamese/Polish/Norwegian), you will be a bridge between language expertise and advanced AI development. Your day‑to‑day activities will involve designing, annotating, and quality‑assuring linguistic data that informs model training pipelines. You will work closely with cross‑functional teams, applying your deep linguistic insight to drive improvements in model performance, reduce bias, and elevate user experiences.

This role offers a blend of creative problem‑solving, technical execution, and collaborative leadership. You’ll be empowered to propose new annotation strategies, automate repetitive tasks with generative AI tools, and mentor junior data associates—all while enjoying the flexibility of a fully remote work environment.

Key Responsibilities – Driving Excellence in AI Data Pipelines

• Data Preparation & Annotation – Master the annotation guidelines and tools to label linguistic categories, parts of speech, and semantic nuances across Vietnamese, Polish, and Norwegian datasets.
• Quality Assurance & QA Reviews – Conduct rigorous QA checks, identify annotation inconsistencies, and implement corrective actions to uphold data integrity.
• Generative AI Workflow Automation – Leverage large language models to streamline repetitive annotation tasks, build prompts, and generate synthetic data for edge‑case coverage.
• Bias Detection & Ethical Review – Continuously monitor model outputs for potential biases or ethical concerns, adjusting training data to mitigate risks.
• Quantitative Error Trend Analysis – Perform deep dive analyses on error patterns, produce actionable insights, and collaborate with engineers to refine model behavior.
• Cross‑Team Collaboration – Partner with language engineers, scientists, and operations managers to resolve annotation ambiguities and improve workflow efficiency.
• Process Innovation – Propose and implement process improvements that reduce turnaround time, increase annotation throughput, and enhance overall data quality.
• Dataset Development – Create diverse language artifacts—including training, validation, and evaluation sets—tailored for specific model objectives.
• Mentorship & Leadership – Guide junior data associates, lead peer review sessions, and foster a culture of continuous learning within the team.
• Vendor Coordination – Communicate detailed feedback to external annotation vendors, ensuring alignment with AWS standards and expectations.
• Pre‑Screening Support – Assist in interview processes for new data associates, evaluating linguistic competence and fit for the team.

Essential Qualifications – The Foundations of Success

• Academic Background – Bachelor’s degree in Linguistics, Cognitive Science, Philosophy, Literature, or a related discipline.
• Bilingual Proficiency – Native‑level fluency in one of the following languages: Vietnamese, Polish, or Norwegian.
• Linguistic Acumen – Ability to identify linguistic ambiguities, classify parts of speech, and produce comprehensive analysis reports.
• Annotation Experience – Hands‑on experience with natural language data labeling, linguistic annotation, or similar markup activities, preferably in a leadership capacity.
• Domain Knowledge – Familiarity with at least one specialized domain such as finance, healthcare, or insurance.
• Technical Literacy – Proficiency with JSON, YAML, XML, or other markup formats; comfortable navigating Unix/Linux terminals and using command‑line tools.
• Programming Skills – Working knowledge of Python, Java, or another scripting language for data manipulation and automation.
• Organizational & Leadership Skills – Strong attention to detail, ability to manage multiple simultaneous projects, and track record of delivering high‑quality results under tight deadlines.
• Communication & Collaboration – Excellent written and verbal communication, active listening, and the ability to work effectively within fast‑paced, cross‑functional teams.

Preferred Qualifications – What Sets Top Candidates Apart

• Master’s degree in Linguistics, Computational Linguistics, Communications, or a related field.
• Proficiency in an additional foreign language beyond the primary bilingual requirement.
• Experience with advanced text‑processing tools (e.g., spaCy, NLTK, Stanford NLP).
• Passion for AI, human language technology, and the ethical dimensions of machine learning.
• Comfort working across multiple operating systems (Windows, macOS, Linux).
• Deep understanding of NLP concepts such as tokenization, named‑entity recognition, sentiment analysis, and transformer architectures.

Core Skills & Competencies – The Talent Blueprint

• Analytical Thinking – Ability to dissect complex linguistic data, spot patterns, and translate findings into actionable recommendations.
• Creative Problem‑Solving – Innovate annotation strategies, generate diverse prompts for generative AI, and devise solutions for ambiguous language cases.
• Technical Proficiency – Comfort with scripting, data formats, and automation tools to increase productivity.
• Ethical Awareness – Keen sense of fairness, bias mitigation, and responsible AI practices.
• Collaboration & Influence – Build strong relationships across engineering, product, and research teams, and influence decisions through data‑driven insights.
• Adaptability – Thrive in a dynamic environment with shifting priorities, new model releases, and evolving annotation standards.
• Leadership & Mentoring – Guide peers, provide constructive feedback, and foster an inclusive, growth‑mindset culture.

Career Growth & Learning Opportunities – Your Path Forward

At AWS, we view career development as a continuous journey. As a Senior ML Data Linguist, you will have access to a robust suite of resources designed to accelerate your professional growth:

• Mentorship Programs – Pair with senior language engineers and AI researchers for knowledge exchange and skill building.
• Internal Training Platforms – Enroll in AWS Learning pathways covering advanced NLP, data engineering, and responsible AI.
• Cross‑Functional Rotations – Experience different facets of the AI lifecycle (e.g., model evaluation, dataset curation, product integration).
• Conference Sponsorship – Attend leading industry events such as ACL, EMNLP, and NeurIPS with full company support.
• Innovation Labs – Join internal hackathons and research sprints to prototype novel annotation tools or bias‑detection algorithms.
• Leadership Tracks – Move toward senior management roles, technical program management, or subject‑matter expert positions within the broader AWS AI organization.

Work Environment & Culture – Remote, Inclusive, and Impact‑Driven

We believe that great work can happen from anywhere. Our fully remote model empowers you to shape a workspace that fits your lifestyle while staying deeply connected to a global community of innovators. Key cultural pillars include:

• Inclusion & Diversity – Employee‑led affinity groups, regular inclusion workshops, and a commitment to diverse hiring practices.
• Curiosity & Learning – A culture that encourages asking “why,” experimenting, and sharing knowledge across teams.
• Work‑Life Harmony – Flexible scheduling, generous paid time off, and resources to support mental health and well‑being.
• Collaboration at Scale – Regular virtual coffee chats, cross‑regional project syncs, and collaborative platforms (e.g., Chime, Slack, Amazon WorkDocs).
• Recognition & Celebration – Programs that celebrate individual achievements, team milestones, and innovative breakthroughs.

Compensation, Perks, & Benefits – A Total Rewards Package

While exact figures vary by geographic market, the role offers a competitive base salary ranging from $40,400 – $86,500 per year, complemented by a comprehensive total‑compensation suite that may include:

• Performance‑Based Bonuses – Annual incentives tied to personal and team outcomes.
• Equity Grants – Stock‑based awards that align your success with Amazon’s long‑term growth.
• Health & Wellness – Medical, dental, vision coverage; mental‑health resources; and wellness stipends.
• Retirement Savings – 401(k) with company match, plus financial planning assistance.
• Learning & Development – Tuition reimbursement, certifications, and access to an extensive library of technical courses.
• Work‑From‑Home Allowance – Stipends for ergonomic equipment, internet, and home‑office setup.
• Paid Time Off – Generous vacation accrual, parental leave, and paid holidays.

All employees also enjoy Amazon’s signature perks, such as employee discount programs, volunteer time off, and the opportunity to work on products that reach billions of users worldwide.

How to Apply – Take the Next Step Toward Impactful Innovation

If you are excited about shaping the future of language AI, thrive in a remote, high‑performing environment, and meet the qualifications outlined above, we want to hear from you. Follow these steps to submit your application:

1. Visit the official AWS careers portal and locate the posting for “Remote Senior Machine Learning Data Linguist – Bilingual (Vietnamese/Polish/Norwegian) – Bedrock.”
2. Upload your up‑to‑date resume, a concise cover letter highlighting your linguistic expertise, and any samples of annotation work or language projects.
3. Complete the optional questionnaire to showcase your problem‑solving approach and cultural fit.
4. Submit your application and monitor your email for next‑step communications from the recruiting team.

Need accommodation? AWS is committed to providing an inclusive hiring process. If you require assistance due to a disability, please request accommodations here.

Closing Message – Your Journey Starts Here

At AWS, we are building the future of AI, one word at a time. As a Remote Senior Machine Learning Data Linguist, you will contribute directly to the models that power real‑world applications—from intelligent assistants that converse naturally, to creative tools that generate compelling content. Join a team where your linguistic talent meets cutting‑edge technology, and where every annotation you make helps shape a more inclusive, intelligent, and responsible AI ecosystem.

Ready to make an impact? Click the link below to apply now and become a pivotal part of the AWS Bedrock revolution.

Apply Now

Apply Now