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Vetted Data parsing developer in the United States (UTC-8)
A skilled AI and Machine Learning Engineer with 5+ years of experience specialising in deep learning, computer vision, and natural language processing. Successfully developed a chatbot using OpenAI GPT for Discord and designed machine learning models for predictive analytics in finance. Proficient in Python, TensorFlow, and data analysis, leveraging these skills to create intelligent solutions and optimise AI systems for business efficiency. Capable of transforming complex data into actionable insights with a robust technical foundation.
Vetted Data parsing developer in France (UTC+1)
Versatile and experienced data engineer offering expertise in enterprise data solutions, cloud data engineering, and high-level strategic planning. Proven track-record leading technical teams to develop, analyze, and scale diverse, big data assets and pipelines aligned to organizational objectives with a focus on data modeling, scalable workflows, and optimization. Deep technical expertise combined with an understanding of the importance of highly effective data pipeline design and management, technical leadership, and stakeholder management. Collaborative leader continually focused on building relationships to produce highly effective cross-functional teams, increasing productivity, and improving outcomes. Individual dedicated to self-reflection and personal improvement who consistently exceeds performance metrics.
Vetted Data parsing developer in Czech Republic (UTC+2)
I'm Matei, a full-stack developer with over 10 years of experience, specializing in JavaScript, React, and Node.js. I help developers at all levels overcome challenges, from debugging complex issues to understanding core concepts. My approach is patient and tailored to your needs, ensuring you gain confidence and clarity in your coding journey. Format: - regular (long term) or one-time - for any level (beginner/intermediate/advanced) - 45-90min sessions, up to 6hrs on request - personalized take-home tasks & resources Availability: - until Jul 15: 4:00-6:00, 15:00-18:00 UTC - after Jul 15: 4:00-18:00 UTC - last minute or late night sessions on request (email matei@copot.eu) Technologies: - JavaScript: ESNext, NodeJS/Deno, TypeScript, React, Vue, NodeMCU, & more - Front-end Web Dev: HTML5, CSS3, responsive design, PWAs, SPAs, & more - Back-end Web Dev: Express/NextJS APIs, Python, AWS, Docker, SQL, PHP, & more - App Dev: Mac/Linux & Android, Electron, Expo, Python, Stripe, UX, & more - others: always curious about other technologies, e.g. haskell, ruby, WASM, WebGL... = Why me? I'm typically paid €100/hr by top companies, so the lower rate here means you're getting top-tier expertise at an accessible price. I enjoy mentoring because it brings variety and a more collaborative and relaxed dynamic. I have a proven track record of guiding learners from zero experience to landing high-paying jobs. My teaching adapts to your pace and goals — you'll always get honest, actionable advice, including what’s realistic and what’s not. If you're serious about growing your skills or career in tech, I’d be glad to support your journey.
Vetted Data parsing developer in Pakistan (UTC+5)
**Experienced LLM Engineer, Full Stack Developer, and AI Specialist with 10+ years of expertise** in designing and deploying machine learning models, particularly large language models (LLMs) and NLP applications. Improved model efficiency by **up to 40% through optimization and fine-tuning techniques**, and boosted application performance by **reducing latency by 30% on high-traffic systems**. Extensive experience in Python and Django for backend development, combined with React for building dynamic, user-friendly frontend interfaces. Proven ability to lead complex AI projects, fine-tune models using Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF), and deliver **scalable solutions that reduced infrastructure costs by 25%** on cloud platforms such as AWS and GCP. Skilled in developing APIs, automating workflows, and integrating AI-driven functionalities across SaaS and e-commerce platforms. Proficient in deploying full-stack solutions, ensuring seamless functionality from **data pipelines to user experience, driving measurable business growth**. **𝐒𝐊𝐈𝐋𝐋𝐒** **𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬** • Python (TensorFlow, PyTorch, Hugging Face Transformers) • JavaScript/TypeScript (React, Node.js) • SQL/NoSQL (PostgreSQL, MongoDB) **𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐍𝐋𝐏** • Large Language Models (GPT, BERT, T5) • Transformer Architectures (Hugging Face, OpenAI) • Supervised Fine-Tuning (SFT) • Reinforcement Learning from Human Feedback (RLHF) • NLP Tasks: Text Generation, Summarization, Sentiment Analysis, Question Answering • Deep Learning (TensorFlow, PyTorch) • Transfer Learning & Model Optimization **𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐂𝐥𝐨𝐮𝐝** • AWS (SageMaker, Lambda), GCP, Azure • Docker, Kubernetes, Jenkins • CI/CD Automation (GitHub Actions, Jenkins, Terraform) • Firebase, Vercel, Stripe **𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬** • Agile & Scrum Methodologies • Version Control (Git, GitHub, Bitbucket) • Unit Testing, TDD (PyTest, Playwright, Jest)
Vetted Data parsing developer in Colombia (UTC-5)
Physicist with a Master’s degree in AI and extensive experience in machine learning, NLP, and predictive analytics. Experience with machine learning and data analysis with background in creation of traditional classification and regression models (SVM, Logistic Regression, Random Forest, etc) and deep neural networks. Skills in SQL, Pandas, Numpy and Sklearn for data analysis as well as Seaborn, and Power BI for data visualization. Experience using Tensorflow and Pytorch for creation of NN’s. Knowledge of SQL. Experience in NLP, using RAG techniques on open source LLMs. Experience in Google Cloud Platform (GCP). Undergraduate degree in Physics with experience in simulation of physical systems and computational physics.
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Arc offers pre-vetted full-time and freelance developers skilled in every programming language, framework, and technology. Look through our popular remote engineer specializations below.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Data parsing developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Data parsing developers can help keep your website up-to-date.
To hire a Data parsing developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Data parsing developers effectively and efficiently. Hire full-time Data parsing developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Data parsing developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data parsing developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Data parsing developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data parsing developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Data parsing developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Data parsing developers, consider niche platforms like Arc that naturally attract and carefully vet their Data parsing developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data parsing developers.
Some factors to consider when you hire Data parsing developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Data parsing developers for hire.
Writing a good Data parsing developer job description is crucial in helping you hire Data parsing developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Data parsing developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Data parsing developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Data parsing developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Data parsing developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Data parsing developers to keep up with evolving technology and requirements.
You can find a variety of Data parsing developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data parsing developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data parsing developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Data parsing developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data parsing developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data parsing developers.
Every Data parsing developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Data parsing developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data parsing developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Data parsing developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Data parsing developers, you can rest assured that all remote Data parsing developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Data parsing developers before we present them to you. As such, all the remote Data parsing developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Data parsing developer in 72 hours, or find a full-time Data parsing developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Data parsing developers.
Depending on the freelance developer job board you use, freelance remote Data parsing developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data parsing developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Data parsing developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Data parsing developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Data parsing developers, check out our FAQs page.