We have experts in more than 50 different domains-from doctors and lawyers to physicists and ... Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ...
We have experts in more than 50 different domains-from doctors and lawyers to physicists and ... Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ...
Remote Executive Attorney information
What is a remote executive attorney?
A Remote Executive Attorney is a highly experienced lawyer who provides legal counsel and representation to companies, executives, or organizations while working remotely, often from a home office or other offsite location. These attorneys typically handle complex legal matters such as corporate governance, mergers and acquisitions, regulatory compliance, and employment law. They may also draft and review contracts, advise on risk management, and represent clients in negotiations or litigation. Working remotely allows them to serve clients across different locations while maintaining flexibility and efficiency.
What are the key skills and qualifications needed to thrive as a remote executive attorney?
To thrive as a Remote Executive Attorney, you need a Juris Doctor (JD) degree, active bar licensure, and deep expertise in business law, contracts, and corporate governance. Familiarity with legal research tools (such as Westlaw or LexisNexis), secure document management systems, and virtual collaboration platforms is essential. Outstanding communication, negotiation, and independent problem-solving abilities will help you excel in advising executives and managing complex legal matters remotely. These skills ensure you can deliver strategic legal counsel, protect organizational interests, and maintain compliance from any location.
How does a remote executive attorney typically collaborate with clients and legal teams while working off-site?
Remote Executive Attorneys frequently rely on secure digital communication tools, such as video conferencing, encrypted email, and document management platforms, to collaborate with clients and internal teams. They participate in virtual meetings, draft and review legal documents, and provide counsel without being physically present in the office. This arrangement requires strong self-management skills, proactive communication, and familiarity with remote work technology to ensure seamless coordination and maintain client trust. Building effective relationships remotely is essential, and attorneys often set regular check-ins and maintain clear documentation to support ongoing projects.
What is the difference between Remote Executive Attorney vs Remote Corporate Counsel?
| Aspect | Remote Executive Attorney |
|---|
| Credentials | Jurisdiction-specific law degree, bar admission, legal certifications |
|---|---|
| Work Environment | Legal firms, corporate legal departments, remote legal teams |
| Employer & Industry | Law firms, corporations, legal service providers |
| Search & Comparison | Often compared for legal expertise, remote legal roles, and corporate law |
Remote Executive Attorneys and Remote Corporate Counsels both require legal degrees and bar admission, often working remotely for corporations or law firms. While Remote Executive Attorneys focus on high-level legal strategy and executive legal advice, Remote Corporate Counsels handle ongoing legal matters within a corporation. Both roles are integral to corporate legal teams, with overlapping credentials and work environments, but differ in scope and responsibilities.
What are the most commonly searched types of Remote Attorney jobs in Kentucky?
The most popular types of Remote Attorney jobs in Kentucky are:
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, 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!
To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice.