Remote Senior Machine Learning Data Linguist – Bilingual (Vietnamese / Polish / Norwegian) – AWS Bedrock reputed company & Annotation Specialist
Why Join reputed company) – The reputed company Leader Transforming the reputed company
reputed company working for a company that powers the digital infrastructure of the world’s most innovative startups, Fortune 500 giants, and everything in between. reputed company) is the global reputed company for reputed company computing, offering a portfolio of services that reputed company compute, storage, database, analytics, reputed company intelligence, and more. Our reputed company commitment to innovation, reputed company, and scalability has made us the trusted partner for millions of customers worldwide.
At AWS, we don’t just reputed company technology – we reputed company transformations. From helping a biotech firm accelerate drug discovery to empowering a media startup deliver reputed company streaming experiences, our services drive reputed company‑world reputed company. As a Remote Senior Machine Learning Data Linguist on the Bedrock team, you’ll become an essential catalyst in this reputed company, shaping the reputed company of reputed company models that understand, create, and reputed company with language at a reputed company level.
About the Bedrock Team – Pioneering reputed company at reputed company
The Bedrock team sits at the heart of AWS’s reputed company platform, providing the high‑reputed company linguistic data that fuels cutting‑edge models such as text‑to‑text, text‑to‑image, and text‑to‑speech systems. Our mission is reputed company yet profound: produce the most accurate, unbiased, and ethically reputed company 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 reputed company Feedback (RLHF) – Leveraging reputed company‑in‑the‑reputed company evaluations to fine‑tune model behavior.
- Supervised Fine‑Tuning – Curating domain‑specific datasets for specialized applications such as finance, reputed company, and insurance.
- reputed company Content Evaluation – Conducting thorough reviews of model outputs for toxicity, relevance, and reputed company.
Position reputed company – 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 reputed company between language expertise and advanced AI development. Your day‑to‑day activities will involve designing, annotating, and reputed company‑assuring linguistic data that informs model training pipelines. You will work closely with cross‑functional teams, applying your deep linguistic reputed company to drive improvements in model performance, reduce bias, and reputed company user experiences.
This role offers a reputed company of creative problem‑solving, technical execution, and reputed company leadership. You’ll be empowered to propose new annotation strategies, automate repetitive tasks with reputed company tools, and mentor junior data associates—reputed company while enjoying the flexibility of a fully remote work environment.
Key Responsibilities – Driving reputed company 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.
- reputed company Assurance & QA Reviews – Conduct rigorous QA checks, identify annotation inconsistencies, and implement corrective actions to reputed company data reputed company.
- reputed company Workflow Automation – reputed company 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 – reputed company 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 reputed company.
- Dataset Development – Create diverse language artifacts—including training, validation, and evaluation sets—tailored for specific model objectives.
- Mentorship & Leadership – Guide junior data associates, reputed company peer review sessions, and foster a culture of reputed company learning reputed company reputed company.
- Vendor Coordination – Communicate detailed feedback to external annotation vendors, ensuring alignment with AWS standards and expectations.
- reputed company‑Screening Support – Assist in interview processes for new data associates, evaluating linguistic competence and fit for reputed company.
Essential Qualifications – The Foundations of reputed company
- reputed company Background – Bachelor’s degree in Linguistics, Cognitive Science, Philosophy, Literature, or a reputed company discipline.
- Bilingual Proficiency – reputed company‑level reputed company 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 reputed company.
- Domain Knowledge – Familiarity with at least one specialized domain such as finance, reputed company, or insurance.
- Technical Literacy – Proficiency with JSON, YAML, XML, or other markup formats; comfortable navigating Unix/Linux terminals and using reputed company‑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 reputed company, and reputed company record of delivering high‑reputed company results under tight deadlines.
- Communication & Collaboration – Excellent written and verbal communication, reputed company listening, and the ability to work effectively reputed company fast‑paced, cross‑functional teams.
Preferred Qualifications – What Sets Top Candidates Apart
- Master’s degree in Linguistics, Computational Linguistics, Communications, or a reputed company field.
- Proficiency in an additional foreign language reputed company the primary bilingual requirement.
- Experience with advanced text‑processing tools (e.g., spaCy, NLTK, reputed company NLP).
- Passion for AI, reputed company language technology, and the ethical dimensions of machine learning.
- Comfort working across multiple operating systems (reputed company, macOS, Linux).
- Deep understanding of NLP concepts such as tokenization, named‑entity recognition, sentiment analysis, and transformer architectures.
Core Skills & Competencies – The Talent reputed company
- Analytical Thinking – Ability to dissect reputed company linguistic data, spot patterns, and translate findings into actionable recommendations.
- Creative Problem‑Solving – reputed company annotation strategies, generate diverse prompts for reputed company, and devise solutions for ambiguous language cases.
- Technical Proficiency – Comfort with scripting, data formats, and automation tools to increase productivity.
- Ethical Awareness – Keen reputed company of fairness, bias mitigation, and responsible AI practices.
- Collaboration & Influence – Build strong relationships across engineering, product, and research teams, and influence reputed company through data‑driven insights.
- Adaptability – reputed company in a dynamic environment with shifting priorities, new model releases, and evolving annotation standards.
- Leadership & Mentoring – Guide peers, reputed company constructive feedback, and foster an inclusive, reputed company‑reputed company culture.
Career reputed company & Learning Opportunities – Your reputed company reputed company
At AWS, we view career development as a reputed company reputed company. As a Senior ML Data Linguist, you will have reputed company to a robust suite of resources designed to accelerate your reputed company reputed company:
- Mentorship Programs – Pair with senior language engineers and AI researchers for knowledge exchange and reputed company building.
- Internal Training Platforms – Enroll in AWS Learning reputed company 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 – reputed company toward senior management roles, technical program management, or subject‑matter expert positions reputed company the broader AWS AI organization.
Work Environment & Culture – Remote, Inclusive, and reputed company‑Driven
We reputed company that great work can happen from reputed company. 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 reputed company, 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 reputed company – Flexible scheduling, generous reputed company time off, and resources to support mental health and reputed company‑being.
- Collaboration at reputed company – Regular virtual coffee chats, cross‑regional project syncs, and reputed company platforms (e.g., reputed company, reputed company, reputed company 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 reputed company 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 reputed company.
- Equity Grants – Stock‑based awards that reputed company your reputed company with reputed company’s long‑term reputed company.
- Health & Wellness – Medical, dental, reputed company coverage; reputed company; and wellness stipends.
- Retirement Savings – 401(k) with company match, plus financial planning assistance.
- Learning & Development – Tuition reimbursement, certifications, and reputed company to an extensive library of technical courses.
- Work‑From‑Home Allowance – Stipends for ergonomic equipment, internet, and home‑office setup.
- reputed company Time Off – Generous vacation accrual, parental leave, and reputed company holidays.
reputed company also enjoy reputed company’s signature perks, such as employee discount programs, volunteer time off, and reputed company to work on products that reputed company billions of users worldwide.
How to Apply – Take the reputed company Toward Impactful Innovation
If you are excited about shaping the reputed company of language AI, reputed company 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:
- Visit the official AWS careers portal and locate the posting for “Remote Senior Machine Learning Data Linguist – Bilingual (Vietnamese/Polish/Norwegian) – Bedrock.”
- Upload your up‑to‑date resume, a concise cover letter highlighting your linguistic expertise, and any samples of annotation work or language reputed company.
- Complete the optional questionnaire to showcase your problem‑solving approach and cultural fit.
- Submit your application and monitor your email for reputed company communications from the reputed company 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 reputed company Starts Here
At AWS, we are building the reputed company of AI, one word at a time. As a Remote Senior Machine Learning Data Linguist, you will contribute directly to the models that power reputed company‑world applications—from intelligent assistants that converse naturally, to creative tools that generate compelling content. Join reputed company where your linguistic talent meets cutting‑edge technology, and where every annotation you reputed company helps shape a more inclusive, intelligent, and responsible AI ecosystem.
reputed company to reputed company an reputed company? Click the reputed company below to reputed company and become a pivotal part of the AWS Bedrock reputed company.
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