Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Israel ... Lead technical execution during delivery, coordinating internal teams and external stakeholders as ...
Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Israel ... Lead technical execution during delivery, coordinating internal teams and external stakeholders as ...
These include frontend and backend engineers, AI research scientists, and others from Amazon ... We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads ...
These include frontend and backend engineers, AI research scientists, and others from Amazon ... We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads ...
These include frontend and backend engineers, AI research scientists, and others from Amazon ... We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads ...
These include frontend and backend engineers, AI research scientists, and others from Amazon ... We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads ...
Remote Amazon Internal information
What are Remote Amazon Internal jobs?
Remote Amazon Internal jobs refer to positions within Amazon that allow employees to work from home or another remote location, supporting various internal functions such as operations, human resources, IT support, or project management. These roles are designed for individuals who want to contribute to Amazon's internal processes without needing to be physically present at an office. Remote Amazon Internal jobs often require strong communication skills, self-motivation, and the ability to collaborate virtually with team members across different locations.
What are the key skills and qualifications needed to thrive as a Remote Amazon Internal employee, and why are they important?
To excel as a Remote Amazon Internal employee, you typically need strong organizational skills, attention to detail, and relevant experience or education in your specific business function. Familiarity with Amazon's internal tools and platforms, such as Amazon Chime, internal knowledge bases, and specific workflow software, is often required. Excellent communication, self-motivation, and adaptability are crucial soft skills for remote collaboration and problem-solving. These skills ensure efficient remote productivity, seamless teamwork, and alignment with Amazon’s high standards for operational excellence.
What are some common challenges faced by Remote Amazon Internal team members, and how can they be addressed?
Remote Amazon Internal team members often navigate challenges such as coordinating across different time zones, maintaining effective communication with colleagues, and ensuring data security while working offsite. To address these, Amazon provides robust collaboration tools, clear guidelines for secure remote access, and regular virtual meetings to foster team cohesion. Proactively managing your schedule, staying organized, and actively participating in team channels can help you stay connected and productive in a remote environment.
What is the difference between Remote Amazon Internal vs Remote Amazon Customer Service Associate?
| Aspect | Remote Amazon Internal | Remote Amazon Customer Service Associate |
|---|---|---|
| Required Credentials | Amazon internal knowledge, basic tech skills | Customer service experience, communication skills |
| Work Environment | Internal systems, Amazon platforms | Customer interaction via chat, email, phone |
| Employer & Industry Usage | Amazon's internal teams, corporate roles | Customer support, retail service |
| Search & Comparison Intent | Understanding internal roles, career growth | Customer support jobs, remote support roles |
Remote Amazon Internal roles focus on internal operations, system management, and corporate tasks within Amazon, requiring internal knowledge and technical skills. In contrast, Remote Amazon Customer Service Associate positions involve direct customer interaction, handling inquiries, and providing support, emphasizing communication skills. Both roles are remote but serve different functions within Amazon's ecosystem.
What are popular job titles related to Remote Amazon Internal jobs in Kentucky? For Remote Amazon Internal jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Internal jobs in Kentucky look for? The top searched job categories for Remote Amazon Internal jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Amazon Internal jobs? Cities in Kentucky with the most Remote Amazon Internal job openings:
Other
Posted 19 days ago
Job description
Company Intro
At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains-from doctors and lawyers to physicists and engineers-and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify.
Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Israel, Czech Republic, Serbia, and more.
About the Role
Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers' needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
- Act as the primary technical point of contact for customers across technical and executive stakeholders.
- Lead discovery conversations to deeply understand client goals, problems and quality criteria.
- Translate client needs into clear, actionable solution designs and delivery plans.
- Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
- Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
- Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
- Design end-to-end data solutions using Toloka's platform, selecting appropriate components, workflows, and quality controls.
- Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
- Run experiments and pilots to validate quality, throughput, and cost assumptions.
- Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
- Ensure solutions meet agreed quality, performance, and scalability requirements.
- Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
- Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
- Prioritize work based on customer impact and business value.
- Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
- Continuously optimize solutions through iteration, automation, and adoption of new technologies.
- Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
- Drive solutions toward stable operation with minimal ongoing maintenance.
- Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
- Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
- Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
- Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
- Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
- Experience designing multi-stage pipelines and complex systems.
- Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
- Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
- Ability to reason about trade-offs between quality, speed, cost, and scalability.
- Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
- Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
- Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
- Ability to manage multiple projects in fast-paced, ambiguous environments.
- Experience with crowdsourcing, expert workflows, or large-scale data labeling.
- Experience working on ML training, evaluation, or agentic systems.
- Familiarity with quality frameworks, audits, or data validation pipelines.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
- Official Communication: Our recruiting team will only contact you from an official "toloka.ai" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
- Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.
- Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list
What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
Thank you for your vigilance!