Configure data labeling components and quality controls, develop user interfaces and AI-driven ... Understanding of software development fundamentals: version control, testing, MVPs, iterative ...
Configure data labeling components and quality controls, develop user interfaces and AI-driven ... Understanding of software development fundamentals: version control, testing, MVPs, iterative ...
Lead creative quality control across packaging, POS and product visualizations, working closely ... Write detailed creative briefs and manage external creative partners or freelancers as needed ...
Lead creative quality control across packaging, POS and product visualizations, working closely ... Write detailed creative briefs and manage external creative partners or freelancers as needed ...
Lead creative quality control across packaging, POS and product visualizations, working closely ... Write detailed creative briefs and manage external creative partners or freelancers as needed ...
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Lead creative quality control across packaging, POS and product visualizations, working closely ... Write detailed creative briefs and manage external creative partners or freelancers as needed ...
Freelance Quality Control information
What is a freelance quality control specialist?
A Freelance Quality Control specialist is an independent professional hired to ensure that products, services, or processes meet specified quality standards. They typically work on a contract basis for various companies, conducting inspections, audits, and tests to identify defects or areas for improvement. Freelance Quality Control specialists may work in industries such as manufacturing, food production, software, or construction, depending on their expertise. Their main goal is to help clients maintain high-quality outputs without the commitment of hiring a full-time employee.
What are the key skills and qualifications needed to thrive as a freelance quality control specialist?
To thrive as a Freelance Quality Control specialist, you need a solid understanding of quality assurance methodologies, attention to detail, and often a background in the relevant industry (such as manufacturing or software). Familiarity with standards like ISO 9001, statistical analysis tools, and reporting systems is typically required, along with certifications like Certified Quality Auditor (CQA) being advantageous. Strong communication, problem-solving, and self-management skills enable effective collaboration with clients and swift resolution of quality issues. These abilities are crucial for ensuring consistent product or service standards and maintaining client trust in a freelance capacity.
How does a freelance quality control professional typically manage communication and expectations with multiple clients?
Freelance Quality Control professionals often work with several clients simultaneously, which requires clear communication and strong organizational skills. They usually establish regular check-ins, provide detailed reports, and set clear timelines to ensure expectations are met. Using project management tools and maintaining transparent documentation helps them track quality standards and address issues promptly. This proactive approach builds trust and fosters long-term client relationships.
What is the difference between Freelance Quality Control vs Freelance Quality Assurance?
| Aspect | Freelance Quality Control | Freelance Quality Assurance |
|---|---|---|
| Focus | Inspecting products/services for defects and compliance | Developing processes to prevent defects and improve quality |
| Responsibilities | Conducting tests, identifying issues, reporting defects | Creating quality standards, audits, process improvements |
| Certifications | Often requires knowledge of industry standards, testing tools | Requires understanding of quality management systems (e.g., ISO) |
| Work Environment | On-site or remote testing, inspection tasks | Remote or on-site process development and audits |
Freelance Quality Control focuses on inspecting and testing products or services to identify defects, while Freelance Quality Assurance emphasizes creating systems and processes to prevent defects and ensure quality from the start. Both roles are essential in maintaining high standards but differ in their approach and responsibilities.
What are the most commonly searched types of Quality Control jobs in Kentucky?
The most popular types of Quality Control jobs in Kentucky are:
What are popular job titles related to Freelance Quality Control jobs in Kentucky?
For Freelance Quality Control jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Freelance Quality Control jobs in Kentucky look for?
The top searched job categories for Freelance Quality Control jobs in Kentucky are:
Full-time
Re-posted 6 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, 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.