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Vetted Google Document AI developer in Turkey (UTC+2)
Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.
Google Document AI developer in the United States (UTC-7)
Results-driven generalist with 12+ years of experience overseeing the entire SDLC, from concept to deployment, delivering market-ready products that have fueled company growth and generated hundreds of millions in revenue. Some of my work includes, but is not limited to: • Intuit GenStudio: Led the development of an AI-powered platform as part of Intuit’s $10 billion AI transformation initiative, integrating GenAI/LLM technologies like OpenAI GPT, Meta LLAMA, Google Gemini, and Anthropic Claude. The platform supports 7,000+ employees with 50% activation and 20% daily usage. (2023–2024) • Meta AIM Data Integrity: Led a team managing data integrity across multiple AI projects, collaborating with 300+ third-party labelers on command detection, hate speech detection, music copyrights, and voice transcription. Contributed to the prototyping of Facebook Portal (Meta Portal), which generated $280M in revenue. (2022) • Google Devices & Services: Developed manufacturing testing tools for phones, watches, and tablets, ensuring high-quality product delivery using Angular, TypeScript, Python, and TensorFlow ML technologies. (2024)
Vetted Google Document AI developer in Mexico (UTC-7)
Data Scientist & AI Engineer with over 4 years of expertise in Machine Learning, NLP, and Large Language Models (LLMs). Demonstrated proficiency in designing and deploying scalable data solutions and fine-tuning transformer models. Experienced in optimizing performance through technologies such as FastAPI and Docker, while leveraging Google Cloud and Azure to enhance operational efficiency. Experienced in developing systems that drive business value by improving decision-making, and data processing capabilities.
Vetted Google Document AI developer in Chile (UTC-3)
I’m a **Senior Software Engineer** with **12+ years of experience** specializing in **backend architecture, performance optimization, and AI-driven automation**. At **Vial**, I led the development of key features for their **EDC platform**, improving **study management, visit scheduling, and regulatory automation**, while also reducing **API response times by ~30%** and **backend test runtime by 40%**. I have built scalable solutions for **healthcare, startups, and enterprise platforms**, serving as both a **technical leader and mentor**. My passion for **problem-solving and system efficiency** drives me to deliver impactful solutions that elevate businesses and teams.
Google Document AI developer in Pakistan (UTC+5)
I am a Fullstack Developer with 4+ years of experience in frontend-heavy development using ReactJS, NextJS, and Angular. Proficient in UI/UX design, API management, and backend technologies. Skilled in project management and cross-platform development.
Vetted Google Document AI developer in the United States (UTC-4)
Visionary software engineering leader and architect with over 15 years of experience driving technological innovation, leading high-performing teams, and architecting scalable AI-driven platforms. Proven track record of successfully integrating cutting-edge AI technologies, such as OpenAI APIs, DALLE, and GPT-4, to create transformative SaaS solutions. Skilled in strategic planning, team building, and delivering complex software projects that leverage machine learning and natural language processing. Passionate about fostering a culture of continuous improvement and innovation, with a strong focus on harnessing the power of AI to revolutionize industries. Seeking a challenging role as a CTO or VP of Engineering to lead the development of groundbreaking AI products and guide organizations to the forefront of technological advancement. **Key Achievements** * Built an AI-driven SaaS application that generates creative ad copy and images using OpenAI's API, GPT-4, DALL-E 3, and a proprietary algorithm, taking the project from concept to launch. * Scaled a health-tech SaaS platform 100 times, from 4K to 400K+ users within one year, by leading a 12+ person cross-departmental team and leveraging AI-powered personalization and automation. * Reduced infrastructure costs by 30% and improved stability by architecting a microservices based platform on Google Cloud Platform (GCP), incorporating AI-driven optimization techniques.
Vetted Google Document AI developer in the United States (UTC-5)
A software developer and system architect with a wide variety of experience including web app development, generative AI, and system design.
Vetted Google Document AI developer in Canada (UTC-4)
Hacker, tinkerer, curious and always up for exploring and learning new things. I thrive in solving problems, and building systems while keeping up with the highest standard thereof. I have quite some milage in backend software development and data engineering. And I often wear as many hats as necessary to do the job. **Skills:** Python, Scala, Rust, Golang, Java, Bash, SQL, NoSQL, Vertica, ScyllaDB, MongoDB, Teradata, Apache Druid, Kafka, Hadoop, Apache Spark, Apache Beam, Amazon Web Services, Google Cloud Platform, Grafana, Prometheus, Datadog, Emacs, Vi, Intellij, Git, Mercurial, Github Actions, CircleCI, Linux, FreeBSD
Vetted Google Document AI developer in the United States (UTC-5)
I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing. These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining. Applications included lead source QC, price/value prediction, and matching. Other applications included regression modeling for attentional measures and content. Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey. I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience. I also developed large data warehousing and CDP modeling at Even Financial. Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity. Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.
Vetted Google Document AI developer in the United States (UTC-4)
As a seasoned full-stack developer with over 15 years of experience, I excel in leading large software development projects and delivering projects by aggressive deadlines. My passion lies in leveraging cutting-edge technologies to build cross-platform, AI-enabled applications. I primarily develop JavaScript, front ends and Python and Scala backends in AWS and Azure. In addition to developing full-stack solutions, I specialize in creating and deploying Spark and MLow and Spark pipelines that power and support these applications on the backend. I have extensive experience building integrations between SaaS providers like JIRA and Asana to serve enterprise use cases.
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Ready to hire your ideal Google Document AI developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Google Document AI developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 Google Document AI 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 Google Document AI developers can help keep your website up-to-date.
To hire a Google Document AI 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 Google Document AI developers effectively and efficiently. Hire full-time Google Document AI 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 Google Document AI 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 Google Document AI 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 Google Document AI developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Document AI 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 Google Document AI 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 Google Document AI developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Document AI developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Document AI developers.
Some factors to consider when you hire Google Document AI 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 Google Document AI developers for hire.
Writing a good Google Document AI developer job description is crucial in helping you hire Google Document AI 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 Google Document AI 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 Google Document AI developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Google Document AI 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 Google Document AI 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 Google Document AI developers to keep up with evolving technology and requirements.
You can find a variety of Google Document AI developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Document AI developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Document AI 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 Google Document AI 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 Google Document AI developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Document AI developers.
Every Google Document AI 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 Google Document AI 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 Google Document AI 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 Google Document AI 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 Google Document AI developers, you can rest assured that all remote Google Document AI 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 Google Document AI developers before we present them to you. As such, all the remote Google Document AI 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 Google Document AI developer in 72 hours, or find a full-time Google Document AI 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 Google Document AI developers.
Depending on the freelance developer job board you use, freelance remote Google Document AI developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Document AI 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 Google Document AI 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 Google Document AI 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 Google Document AI developers, check out our FAQs page.