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Automatic Speech Recognition developer in South Korea (UTC+9)
As a Peruvian software engineer with master’s degree in computer science and engineering, I bring 5 years of experience in software project management and 5 years of experience in system design and development applying innovative technologies such as AI and big data. I have successfully navigated multicultural environments and demonstrated my organizational and problem-solving skills. I am currently based in South Korea, after completing my studies with the Global Korean Scholarship. With a keen ability to adapt and learn quickly in a fast-moving environment, I am eager to contribute my skills to a challenging role that aligns with my passion for advancing technology.
Automatic Speech Recognition developer in Bangladesh (UTC+6)
Machine Learning Engineer with 3+ years of expertise in Natural Language Processing (NLP) and building end-to-end ML systems, including data pipeline, model training and evaluation, and system integration. Skilled in developing and optimizing systems for language modeling, named entity recognition (NER), question answering (QA), semantic similarity, etc. Proficient with vector databases and retrieval-augmented generation (RAG) systems using large language models (LLMs).
Vetted Automatic Speech Recognition developer in the United States (UTC-8)
**Results-oriented Senior Full-Stack AI/ML Engineer with 8+ years as a Software Consultant. Skilled in analyzing large datasets, designing personalized recommendation systems, and optimizing machine learning pipelines for real-time data processing. Adept at researching and adopting state-of-the-art technologies to enhance model performance and operational efficiency, while consistently delivering impactful results to drive business growth.** **Have various experiences in Machine Learning, Natural Language Processing, Data Engineering and Cloud Engineering work.** **Technical Expertise: [https://momentous-blackbird-0cc.notion.site/Technical-Expertise-a4d39819eba345cc83d6d1628fc32070](https://momentous-blackbird-0cc.notion.site/Technical-Expertise-a4d39819eba345cc83d6d1628fc32070)** **Portfolio: https://christinestraub.notion.site/Portfolio-b5c0bd8b916441e8b7687ae2ff5dc8fe**
Vetted Automatic Speech Recognition developer in Azerbaijan (UTC+4)
I am passionate about AI projects and have worked with or fine-tuned nearly all popular open-source models available. My current focus is on the NLP domain, specifically in TTS, STT, NLU, and chatbots. As an experienced software developer with over 10 years of expertise in both functional and object-oriented programming and approximately 20 years in the IT industry overall, I am confident in collaboratively tackling any challenge we may face.
Vetted Automatic Speech Recognition developer in Poland (UTC+2)
A voice engineer with extensive analytical and software experience of investigating and diagnosing network problem and also knowledge of IT operating systems. Extensive experience with VoIP and telecom equipment, standards and technologies.
Vetted Automatic Speech Recognition developer in Czech Republic (UTC+2)
Matei is a versatile full-stack web developer with expertise in web technologies, focusing on React, TypeScript, and Node.js among many others. An Olympic-level mathematician, he is adept at crafting complex systems and is passionate about continuous learning. Known for excellent communication and teamwork, he's highly collaborative and easy to work with. In his leisure, Matei is an enthusiastic pilot, enjoys camping with his rescue husky, Aku, and engages in strategy board games with friends.
Vetted Automatic Speech Recognition developer in Pakistan (UTC+5)
I am a firm follower of hard slog with an inclination to take initiative and the ability to lead a competitive team. I am looking to be a part of an innovative and dynamic organization where my experience and vision will help me to contribute in the growth of the organization and diversification of my expertise. I have been an integral part of the VoIP services configuration, deployment, and management in many different organizations from more than a decade.
Vetted Automatic Speech Recognition developer in Argentina (UTC-3)
I'm a software engineer specialized in web and mobile development. I'm passionate about creating meaningful work through technology and I believe in learning as a lifestyle, which leads me to continuously seek innovation and improvement.
Vetted Automatic Speech Recognition developer in Brazil (UTC-3)
I am an accomplished entrepreneur, software developer and architect looking for a great new opportunity to help a fastgrowing business. Being a hands-on technical director, I have hired, coached and developed multiple teams and platforms. I have always used state of the art methodologies with edge technology to help the users with the best solution possible and would like to use it on this new challenge.
Vetted Automatic Speech Recognition developer in India (UTC+6)
Principal Data Scientist with over a decade of experinece delivering strategic business value through data science tools and techniques. Key strengths in advanced mathematics, programming, ML development and cross-functional communications. Have received delivery excellence award from Govt. of India for key Govt. AI project seamless delivery.
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Get startedArc helps you build your team with our network of full-time and freelance Automatic Speech Recognition developers worldwide, spanning 190 countries.
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 an Automatic Speech Recognition developer, multiple developers, 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 Automatic Speech Recognition developers can help keep your website up-to-date.
To hire an Automatic Speech Recognition 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 Automatic Speech Recognition developers effectively and efficiently. Hire full-time Automatic Speech Recognition 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 Automatic Speech Recognition engineers 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 Automatic Speech Recognition 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 Automatic Speech Recognition developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Automatic Speech Recognition programmers 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 Automatic Speech Recognition 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 Automatic Speech Recognition developers, consider niche platforms like Arc that naturally attract and carefully vet their Automatic Speech Recognition developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Automatic Speech Recognition developer candidates.
Some factors to consider when you hire Automatic Speech Recognition 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 Automatic Speech Recognition developers for hire.
Writing a good Automatic Speech Recognition developer job description is crucial in helping you hire Automatic Speech Recognition programmers 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 Automatic Speech Recognition 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 Automatic Speech Recognition programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Automatic Speech Recognition developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Automatic Speech Recognition 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 Automatic Speech Recognition developers to keep up with evolving technology and requirements.
You can find a variety of Automatic Speech Recognition developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Automatic Speech Recognition programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Automatic Speech Recognition 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Automatic Speech Recognition 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 Automatic Speech Recognition developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Automatic Speech Recognition developers.
Every Automatic Speech Recognition developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Automatic Speech Recognition and breadth across the greater domain). 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 Automatic Speech Recognition engineer 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 Automatic Speech Recognition 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 Automatic Speech Recognition 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 Automatic Speech Recognition developers, you can rest assured that all remote Automatic Speech Recognition 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 Automatic Speech Recognition developers before we present them to you. As such, all the remote Automatic Speech Recognition 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 Automatic Speech Recognition programmer in 72 hours, or find a full-time Automatic Speech Recognition programmer 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 Automatic Speech Recognition developers.
Depending on the freelance developer job board you use, freelance remote Automatic Speech Recognition developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Automatic Speech Recognition 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 Automatic Speech Recognition 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 software 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 Automatic Speech Recognition 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 Automatic Speech Recognition developers, check out our FAQs page.