Arc helps you find and hire top freelance Stanford nlp engineers for your jobs. With 1,028 Stanford nlp programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Stanford nlp developers and experts that you can trust.
Vetted Stanford nlp developer in the United States (UTC-6)
I am a collaborative, fun, gregarious, and little-to-no-ego, hands-on true full stack software engineer (front, back, devops, and observability). I am an empathetic, friendly, creative, and pragmatic problem-solver with proven abilities to thrive in a fast-paced, technically challenging environment. My robust business background gives me the ability to provide mature analysis to current problems.
Vetted Stanford nlp developer in Germany (UTC+2)
Data Scientist, Squad Lead, and Product Stream Driver working in Fintech since 2018. Ph.D. in Physics from TU Dresden/Max Planck Institute. Holder of an MIT MicroMasters in Finance. ML contributor to Mushroom Observer, Inc.
Vetted Stanford nlp developer (UTC+3)
I am passionate about Computer Science and Mathematics Software Engineer. Skills of architecting and building complex user-oriented systems and applications are in my blood. In combination with business needs, I can turn any idea into understandable requirements for the team and finally, build it the most effective way, plus keep the quality on the highest possible level. In spare time, I am heading up to the perfection in every aspect of my life, by improving physical form, increasing reading speed, building better сhess skills, leveling up overall endurance, and doing many other interesting or maybe stupid things. Being said, it is the long way to go, so far I'm somewhere in the middle.
Vetted Stanford nlp developer in Estonia (UTC+3)
I am a senior backend developer with experience in developing high-performance scalable digital asset exchanges using Java, Spring Boot, Hibernate, and Nodejs. I have deployed microservices using AWS Lambda, Beanstalk, EC2, RDS, S3, Cognito, and Api Gateway. I have also implemented CI/CD pipelines with GitHub Actions and Docker, resulting in a 15% increase in development speed. I have expertise in DDD, GOF, SOLID, and Clean Coding, and have mentored junior developers. Additionally, I have experience in authentication and authorization using Spring Security, JWT, and AWS Cognito, as well as integrating payment platforms such as Split, PayPal, and Stripe. I have optimized Hibernate ORM integration with MySQL, Postgres, and MongoDB for heavy query loads and fast response times. I have contributed to increased sales and customer experience, and have designed microservice architectures using Spring Cloud. I have also developed text mining and NLP modules using libraries like Stanford NLP.
Vetted Stanford nlp developer (UTC-7)
Cybernetic Enthusiast, I post a bunch of tech ideas on my blog, gilgahex.com Also see my profile on consulting.gilgahex.com I started programming in raw hex as a kid with CheatEngine & Gameshark, at that time I had no idea I was actually manipulating memory addresses, it wasn't until I learned C++ in high-school that it all came together. That being said low-level systems like microcontrollers, IoT, cryptography, & embedded systems are very intuitive to me Since then I studied physics @ UCSB, worked in the aerospace industry doing industrial automation, process & SEM imaging automation for material science R&D. Then started a few biotech companies
Vetted Stanford nlp developer in Argentina (UTC-3)
Hi there! I can help you with: 💻 fix your code 📊 data analysis 🔎 statistical analysis for research 🔮 machine learning algorithms 🧠 artificial neural networks ➕ and more. Languages: python, R
Vetted Stanford nlp developer in Turkey (UTC+3)
Highly skilled and accomplished Deep Learning expert with 7+ years of experience consist of both Computer Vision and NLP and 4+ years of technical management experience. Adept at creating and implementing advanced machine learning pipelines, designing efficient backend systems, and managing technical teams to ensure the successful delivery of complex projects. I have built ⭐1.5K GitHub repo, called DemoGPT which is about prompt-based LLM application development. With DemoGPT, I aimed to democratize the LLM-based application development.
Vetted Stanford nlp developer in India (UTC+6)
\*Available to overlap up to 4 hours with EDT/CDT\* I have architected and implemented applications from scratch, dealt with situations at a fast-moving startup with changing requirements, and have worked with one of the largest companies in the world, where there was a need to get familiarized with the huge existing code base and build on top of it. I have been and excelled in high pressure situations, where the impact would have been hundreds of thousands of dollars and/or customer shipments. I see the larger picture for a software system and design, or evaluate it to make sure it is secure, scalable, available, extendable, cost-effective and at the same time, simple. While my resume gives an in-depth look at my technical expertise and work experience, some of the skills that I’d like to highlight are React, React Native, Django, SQL and AWS. I have been working on these technologies on a daily basis for the past three years in my most recent role and am highly proficient at creating and updating products using them. Moreover, working with a wide range of technologies on a number of problems allows me to effectively plan and estimate tasks on hand to deliver high quality results on time. With a total experience of 7+ years, I know how to cater to the requirements of different situations and work environments. I have been working remotely for the last 4 years, so I can work autonomously without much oversight, as well as effectively lead and communicate with team members located in different countries.
Vetted Stanford nlp developer in India (UTC-7)
I am a Senior AI Engineer with expertise in Python, ML, and Generative AI looking for a Dynamic workplace with a lot of work involving interesting and challenging problems.
Vetted Stanford nlp developer in India (UTC+6)
With 8 years of experience in software development and project implementation, I am a passionate and skilled machine learning engineer who thrives on delivering innovative and impactful solutions for the computer software industry. I currently work as a Machine Learning Engineer III at Phenom, a global leader in talent experience management. Looking for a place to implement and work on extensive data, machine learning pipelines with like-minded people and learn new things.
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Get startedArc helps you build your team with our network of full-time and freelance software 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 a Stanford nlp 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 Stanford nlp developers can help keep your website up-to-date.
To hire a Stanford nlp 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 Stanford nlp developers effectively and efficiently. Hire full-time Stanford nlp 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 Stanford nlp 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 Stanford nlp 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 Stanford nlp developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Stanford nlp 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 Stanford nlp 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 Stanford nlp developers, consider niche platforms like Arc that naturally attract and carefully vet their Stanford nlp developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Stanford nlp developer candidates.
Some factors to consider when you hire Stanford nlp 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 Stanford nlp developers for hire.
Writing a good Stanford nlp developer job description is crucial in helping you hire Stanford nlp 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 Stanford nlp 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 Stanford nlp programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Stanford nlp 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 Stanford nlp 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 Stanford nlp developers to keep up with evolving technology and requirements.
You can find a variety of Stanford nlp developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Stanford nlp programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Stanford nlp 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 Stanford nlp 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 Stanford nlp developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Stanford nlp developers.
Every Stanford nlp 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 Stanford nlp 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 Stanford nlp 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 Stanford nlp 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 Stanford nlp 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 Stanford nlp developers, you can rest assured that all remote Stanford nlp 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 Stanford nlp developers before we present them to you. As such, all the remote Stanford nlp 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 Stanford nlp programmer in 72 hours, or find a full-time Stanford nlp 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 Stanford nlp developers.
Depending on the freelance developer job board you use, freelance remote Stanford nlp developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Stanford nlp 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 Stanford nlp 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 Stanford nlp 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 Stanford nlp developers, check out our FAQs page.