... engineers-and boast one of the most diverse global crowds, representing over 100 countries and ... Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos ...
... engineers-and boast one of the most diverse global crowds, representing over 100 countries and ... Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos ...
Freelance Shopify Developer information
See Kentucky salary details
$14.82 - $19.93
8% of jobs
$19.93 - $25.03
3% of jobs
$25.03 - $30.14
6% of jobs
$35.06 is the 25th percentile. Wages below this are outliers.
$30.14 - $35.25
7% of jobs
$35.25 - $40.35
14% of jobs
$40.35 - $45.46
9% of jobs
The median wage is $46 / hr.
$45.46 - $50.56
15% of jobs
$54.67 is the 75th percentile. Wages above this are outliers.
$50.56 - $55.67
15% of jobs
$55.67 - $60.77
12% of jobs
$60.77 - $65.88
7% of jobs
$65.88 - $70.99
3% of jobs
$14
$45
$70
How much do freelance shopify developer jobs pay per hour?
As of Aug 6, 2026, the average hourly pay for freelance shopify developer in Kentucky is $45.89, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $56.15 per hour, depending on experience, location, and employer.
What is a freelance Shopify developer?
A Freelance Shopify Developer is an independent professional who specializes in building, customizing, and maintaining e-commerce websites using the Shopify platform. They work with clients on a project or contract basis rather than as a full-time employee. Their tasks can include theme development, app integration, custom coding, and optimizing online stores for better performance and sales. Freelance Shopify Developers often collaborate with designers and business owners to create tailored solutions that meet specific business goals. Hiring a freelance developer provides flexibility and specialized expertise for businesses looking to enhance their Shopify stores.
What are the key skills and qualifications needed to thrive as a freelance Shopify developer?
To thrive as a Freelance Shopify Developer, you need strong skills in web development (HTML, CSS, JavaScript, and Liquid templating), e-commerce best practices, and experience working with the Shopify platform. Familiarity with Shopify APIs, version control systems like Git, and potentially certifications such as Shopify Partner or Shopify Expert are valuable. Excellent communication, problem-solving, and time management abilities help you collaborate with clients and deliver quality work on schedule. These skills and qualities ensure you can build effective, customized online stores that meet client needs and adapt to evolving e-commerce trends.
How do freelance Shopify developers typically manage multiple client projects and deadlines?
Freelance Shopify Developers often juggle several projects simultaneously, which requires strong organizational and communication skills. They usually rely on project management tools to track tasks, deadlines, and client communications, ensuring each project stays on schedule. Clear expectation-setting with clients and regular progress updates are essential to avoid misunderstandings. This role also involves adapting to different business models and store requirements, making time management and flexibility crucial for success.
What is the difference between Freelance Shopify Developer vs Shopify Developer?
| Aspect | Freelance Shopify Developer | Shopify Developer |
|---|---|---|
| Work Environment | Independent, remote or on-site freelance projects | Employed by a company or agency, often full-time or part-time |
| Credentials | Skills in Shopify platform, coding, and design; certifications optional | Similar skills; certifications like Shopify Partner or developer courses beneficial |
| Employer & Industry Usage | Serves multiple clients across industries as an independent contractor | Works within a company or agency, supporting various clients or products |
In summary, a Freelance Shopify Developer works independently on diverse projects, while a Shopify Developer is typically employed by an organization. Both roles require similar skills, but their work settings and employment structures differ.
What are the most commonly searched types of Shopify Developer jobs in Kentucky? The most popular types of Shopify Developer jobs in Kentucky are:
What are popular job titles related to Freelance Shopify Developer jobs in Kentucky? For Freelance Shopify Developer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Freelance Shopify Developer jobs in Kentucky look for? The top searched job categories for Freelance Shopify Developer jobs in Kentucky are:
Other
Re-posted 9 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!
Thank you for your vigilance!