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Hire Computational Linguists

App Mechanic Ltd

5.0

226

9.3

99%

Ras Al Khaimah, United Arab Emirates

$25 USD per hour

𝐖𝐄𝐁 • 𝐌𝐎𝐁𝐈𝐋𝐄 • 𝐆𝐀𝐌𝐄 • 𝐀𝐑/𝐕𝐑 • 𝐀𝐈 𝐅𝐈𝐑𝐒𝐓 𝐂𝐎𝐌𝐏𝐀𝐍𝐘 Welcome to App Mechanic! At App Mechanic, we are a Web, Mobile, Game, AR/VR, and AI-first development company, delivering scalable, high-performance, and future-ready digital solutions. We combine innovation, design, and engineering to turn ideas into impactful products. 🔹 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬: ➜ Website and Mobile App Development ➜ Game Development ➜ Augmented Reality (AR) & Virtual Reality (VR) ➜ Artificial Intelligence (AI) ➜ SaaS, ERP & CRM Development ➜ AI Automation & Workflows (n8n, Zapier) ➜ Rapid MVP Development (FlutterFlow, Bubble io, Lovable, Base44) ➜ Blockchain & Smart Contracts ➜ Search Engine Optimization (SEO) & Digital Marketing 🔹 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐖𝐞’𝐯𝐞 𝐒𝐞𝐫𝐯𝐞𝐝: ➜ Manufacturing, Education, E-commerce, FMCG, Retail ➜ Healthcare, Real Estate, Travel, Logistics & Supply Chain 🔹 𝐆𝐫𝐚𝐩𝐡𝐢𝐜 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 & 𝐔𝐈/𝐔𝐗: ➜ Brand Identity (Logos, Flyers, Brochures, Business Cards) – Photoshop / Illustrator ➜ Wireframes, Mockups & Clickable Prototypes (Figma / Adobe XD) ➜ Conversion-focused UI/UX Design 🔹 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: ➜ Frontend: ReactJS, VueJS, NextJS, Angular, TypeScript, Tailwind CSS, Bootstrap ➜ Backend: NodeJS, Python, PHP (Laravel), .NET (ASP.NET, C#), FastAPI, Django ➜ APIs: RESTful, GraphQL, SOAP, Third-party Integrations ➜ Databases: MySQL, MSSQL, MongoDB, PostgreSQL, Redis ➜ Vector DBs: Pinecone, FAISS, Weaviate, Chroma, pgvector ➜ Version Control & Tools: Git, GitHub, GitLab, Jira, Trello, Slack 🔹 𝐂𝐌𝐒 & 𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞: ➜ Django & MERN-based Custom CMS ➜ WordPress (Elementor, WooCommerce), Shopify (Custom Themes) ➜ Headless CMS: Strapi, Sanity 🔹 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: ➜ Flutter, FlutterFlow & React Native (Cross-platform) ➜ Native iOS & Android Apps ➜ .NET MAUI (Cross-platform Apps) 🔹 𝐆𝐚𝐦𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: ➜ Unity 3D (C#), Unreal Engine ➜ 2D/3D Games, Simulations, AR/VR 🔹 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: ➜ OpenAI, ChatGPT, Claude, Gemini Integrations ➜ AI Chatbots, Conversational AI, NLP, AI Agents ➜ LangChain, RAG Pipelines, Vector Databases ➜ n8n & Zapier Automation Workflows ➜ OCR & Computer Vision 🔹 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬: ➜ AWS, GCP, Microsoft Azure ➜ Docker, Kubernetes, CI/CD Pipelines ➜ Nginx, Apache, IIS, Linux Servers ➜ Infrastructure as Code (Terraform) ✨ At App Mechanic, we build 𝐀𝐈-𝐟𝐢𝐫𝐬𝐭, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 across 𝐖𝐞𝐛, 𝐌𝐨𝐛𝐢𝐥𝐞, 𝐆𝐚𝐦𝐞𝐬, 𝐚𝐧𝐝 𝐗𝐑 while also enabling 𝐫𝐚𝐩𝐢𝐝 𝐌𝐕𝐏 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 using modern 𝐧𝐨-𝐜𝐨𝐝𝐞/𝐥𝐨𝐰-𝐜𝐨𝐝𝐞 𝐭𝐨𝐨𝐥𝐬 and helping businesses grow through 𝐒𝐄𝐎 𝐚𝐧𝐝 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠.

Computational Linguistics PHP C Programming Java JavaScript

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The 'Core Techies'

4.7

206

8.5

94%

BIKANER, India

$15 USD per hour

Core Techies is a software development and AI engineering company helping startups and enterprises build scalable digital products, automation systems, AI-powered solutions, and SaaS platforms. Since 2013, we have successfully delivered 200+ projects across web applications, mobile apps, backend systems, enterprise software, workflow automation, and AI-powered products. Our expertise includes: 🚀 AI Agents & AI Applications Custom AI agents, conversational AI systems, RAG applications, LLM integrations, document intelligence, and business process automation. ⚡ Workflow Automation n8n, Make.com, Zapier, CRM automation, sales workflows, operational automation, lead management, customer support automation, and system integrations. 📱 Mobile App Development Flutter, Android, iOS, React Native, Firebase-powered applications, MVP development, and enterprise mobile solutions. 💻 Web & SaaS Development React, Next.js, Node.js, Python, Java, Spring Boot, custom SaaS platforms, admin dashboards, multi-tenant systems, and enterprise applications. 🔌 API & System Integrations CRM, ERP, payment gateways, third-party APIs, cloud services, communication platforms, and business system integrations. ☁️ Cloud & DevOps AWS, Google Cloud, Docker, Kubernetes, CI/CD, deployment automation, and scalable cloud infrastructure. Our team focuses on building practical solutions that improve operations, automate workflows, reduce manual effort, and help businesses scale efficiently. Whether you need an AI-powered product, SaaS platform, mobile application, automation workflow, or enterprise software solution, we can help transform your idea into a production-ready system.

Computational Linguistics PHP C Programming Java JSP

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Modular solutions

5.0

119

8.1

97%

SIALKOT, Pakistan

$50 USD per hour

Modular Solutions delivers advanced Engineering, AI/ML, Embedded Systems, and IoT solutions for startups, enterprises, researchers, and industrial clients worldwide. We transform complex ideas into production-ready systems — from AI platforms and automation tools to embedded hardware, enterprise software, industrial controls, simulations, and engineering designs. Our expertise combines Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning, Data Science, Analytics, and Automation with strong software engineering capabilities in Python, C/C++, Java, C#, .NET, PHP, JavaScript, SQL, MATLAB, Simulink, and Linux-based systems. On the hardware side, we specialize in Embedded Systems, IoT Devices, FPGA/Verilog/VHDL, PCB Design, Raspberry Pi, Arduino, ARM development, RF systems, electronics, firmware, industrial automation, sensor integration, DSP, and hardware/software interfacing. We also provide Mechanical, Electrical, Civil, and Structural Engineering services including AutoCAD, Civil 3D, SolidWorks, CAD/CAM, Product Design, 3D Modelling, Simulation, Renewable Energy systems, and technical feasibility analysis. Our experience includes: • AI-powered analytics and automation platforms • Facial Recognition and OpenCV systems • Enterprise SaaS and backend platforms • Industrial automation and control systems • FPGA and embedded hardware development • MATLAB/Simulink modeling and simulation • IoT evaluation and sensor systems • CAD drafting and engineering design • Unity 3D and simulation applications • Data analytics and statistical analysis • Research, technical writing, and documentation We also support clients with Project Management, Business Analysis, Finance, Accounting, Bookkeeping, QuickBooks reconciliation, Reporting, Scientific Research, Research Writing, Technical Writing, and enterprise consulting. Our technical stack and domains include: AI & Machine Learning | Deep Learning | Neural Networks | Computer Vision | OpenCV | Data Science | Big Data | Statistical Analysis | SPSS | R Programming | Python | MATLAB | Simulink | Algorithm Development | Data Mining | Text Mining | C Programming | C++ | Java | C# | PHP | JavaScript | SQL | .NET | Software Architecture | Linux | Web Development | Electronics | Electrical Engineering | FPGA | Verilog/VHDL | Embedded Systems | IoT | Arduino | Raspberry Pi | ARM | PCB Design | RF Communications | DSP | CAD/CAM | AutoCAD | SolidWorks | Mechanical Engineering | Civil Engineering | Structural Engineering | Product Design | 3D Modelling | Unity 3D | Technical Writing | Research Writing | Project Management | Finance | QuickBooks | Business Analysis Clients choose Modular Solutions for strong communication, fast execution, technical depth, and the ability to solve complex engineering and software challenges under tight deadlines. We focus on delivering reliable, scalable, and production-ready solutions tailored to each client’s goals.

Computational Linguistics PHP C Programming Java JavaScript

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Sunanda D.

4.7

6.2

98%

HOWRAH, India

$12 USD per hour

Greetings, from Sunanda A writer by Profession A writer by Passion Welcome to my Writing World. Yes, I'm passionate about writing! Over 7 years of experience in creative writing, I have a deep passion for research and ensuring that all of my content will be 100% unique. Allow me to work on your project and will make it up to your standard. I’ll share samples of our work once we’ll initiate the chat. I have strategically helped over 100+ clients with business plans, business reports, journal articles, case studies, white papers, and research papers. My writing background includes various writing styles, topics, and timely research skills to produce good quality content. What I Can Offer: - Business Plans (internal, growth, operations, feasibility, or strategic business plans); - Pitch Decks; - Market Research; - Financial Models (financial statements, discounted cash flow, merger model, initial public offering model, leveraged buyout model) Also, I am an expert in: - Content Writing, SEO Copy-writing, Management ❋ Re-Writing Article Writing, Blog Writing, Academic Writing ❋ Technical Writing, Website Copy-writing, ❋ Press Release Writing, Marketing Writing, Newsletter Writing ❋ CV & Cover letter Writing, Legal Writing, Company Profile ❋ Literature Writing, History & eBook Writing, Medical Writing ❋ HRM Writing, Finance, and many other subjects. I'm fully aware of all referencing styles and always do my best. ❋ Essays ❋ Thesis ❋ Articles ❋ Assignments ❋ Assessments HIRE ME Because Professional Respecting deadlines Prompt Flawless results High standards 24/7 for you with having top-notch writing skills. I look forward to making all your ideas and dreams come true. If you need a creative, precise, and responsible business content writer – you are at the right place. Very eager to achieve a 5/5 result for both sides, Just a message away for a FREE consultation …."Hire me"! “LET’S DO INCREDIBLE THINGS TOGETHER!” Best Regards Sunanda

Computational Linguistics PHP Python Website Design Graphic Design

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Muhammad Ahmed

5.0

3.8

67%

Lahore, Pakistan

$10 USD per hour

Highly skilled and results-driven QA Engineer with over four years of experience in software quality assurance. Specializing in manual and automated testing of web, mobile, and desktop applications, I am adept at creating and executing detailed test plans and scenarios, identifying and documenting defects, and collaborating with cross-functional teams to ensure the delivery of high-quality software products. Proficient in utilizing tools like Selenium(python), Postman, and JIRA for test automation and defect tracking. Committed to continuous learning and staying updated with the latest testing methodologies to enhance product quality and user satisfaction.

Computational Linguistics Audio Services Data Entry Training Excel

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See more Computational Linguists

Clients rate our Computational Linguists

4.94 out of 5

from 603 reviews

How to hire a great freelance Computational Linguist

A computational linguist is a specialist who applies computer science, machine learning, and linguistic theory to build systems that process, analyze, and generate human language. A freelance computational linguist designs the language models, annotation schemes, and evaluation pipelines behind chatbots, search engines, machine translation, speech recognition, and text analytics products.

What a freelance computational linguist delivers

Computational linguistics sits at the intersection of natural language processing (NLP), formal linguistics, and applied machine learning. A freelance computational linguist translates messy, ambiguous human language into structured data that software can act on, and structured data back into fluent text. That work directly shapes how accurate a search query, a virtual assistant response, or an automated translation actually is.

The commercial value is concrete. Better tokenization and morphological analysis reduce search miss rates. Cleaner annotated corpora improve model accuracy. Well-designed grammars and ontologies cut hallucinations in generative systems. A skilled computational linguist is often the difference between a language product that ships and one that fails user testing.

Core services and deliverables

Most freelance computational linguistics engagements fall into a handful of well-defined deliverable types:

Corpus collection, cleaning, and annotation, including part-of-speech tagging, named entity recognition (NER), dependency parsing, and semantic role labelling

Annotation guideline authoring and inter-annotator agreement measurement using Cohen's kappa or Krippendorff's alpha

Lexicon, ontology, and gazetteer construction for specific domains such as medical, legal, or financial text

Tokenizers, lemmatizers, morphological analyzers, and grammar rules for low-resource and morphologically rich languages

Fine-tuning and evaluation of transformer models such as BERT, RoBERTa, T5, and Llama for classification, extraction, and generation tasks

Prompt engineering, retrieval-augmented generation (RAG) pipelines, and evaluation harnesses for large language model applications

Speech and phonetics work including ASR transcription review, pronunciation lexicons, and forced alignment

Machine translation post-editing, MT quality estimation, and parallel corpus alignment

Linguistic QA for chatbots, voice assistants, and search relevance, including error analysis and regression test suites

Tools, frameworks, and methodologies

Buyers should expect fluency with the standard NLP stack. Common tooling includes Python with spaCy, NLTK, Stanza, and Hugging Face Transformers for modeling, and Praat, ELAN, or Montreal Forced Aligner for speech work. Annotation projects typically run on Prodigy, Label Studio, INCEpTION, or brat. Experiment tracking with Weights and Biases, version control with Git, and data handling in Pandas and SQL are standard.

On the methodology side, a strong computational linguist understands evaluation metrics in depth: precision, recall, F1, BLEU, chrF, COMET, perplexity, and word error rate. They know when a benchmark is misleading and when a small annotated test set tells a more honest story than a large noisy one.

Industries and use cases

Computational linguistics talent is in demand across a wide range of sectors:

Conversational AI vendors building voice assistants, customer support bots, and IVR systems

Search and e-commerce teams improving query understanding, faceted search, and product attribute extraction

Legal tech and contract analytics platforms doing clause extraction and obligation mining

Healthcare and life sciences companies working on clinical text mining, ICD coding, and pharmacovigilance

Localization and translation providers building MT engines and terminology management systems

Media monitoring, social listening, and trust and safety teams classifying intent, sentiment, and harmful content

Academic and research groups producing annotated datasets and reproducible NLP experiments

How to evaluate computational linguistics candidates

Strong candidates usually combine formal linguistics training with hands-on machine learning experience. Look for graduate-level coursework or publications in computational linguistics, NLP, or a related field, plus a portfolio that includes shipped models, public datasets, open-source contributions, or peer-reviewed papers at venues such as ACL, EMNLP, NAACL, or LREC.

Beyond credentials, examine the depth of their evaluation work. A linguist who writes detailed error analyses and annotation guidelines is far more valuable than one who only reports headline accuracy numbers. Multilingual experience matters if your product covers more than English, and domain experience matters if your text is specialized.

Useful interview questions to copy and use:

Walk me through a recent annotation project. How did you write the guidelines and measure inter-annotator agreement?

How would you design an evaluation set for a named entity recognition system in a new domain with limited labeled data?

When would you choose a rule-based or hybrid approach over fine-tuning a transformer model?

Describe how you would diagnose and fix a chatbot that frequently misclassifies user intent.

What metrics would you use to evaluate a machine translation system, and where do those metrics break down?

Why hire computational linguists on Freelancer.com

Freelancer.com gives you access to a global pool of computational linguists, NLP engineers, and language data specialists across dozens of languages and domains. Whether you need a single annotator for a short labeling sprint, a senior NLP consultant to architect a RAG pipeline, or a multilingual team to build evaluation sets, you can find vetted talent quickly. Clients on Freelancer.com set their own budgets and receive competitive bids, so scope and price stay under your control.

Profiles include verified skills, portfolios, ratings, and detailed client reviews, making it straightforward to compare candidates on real evidence. Milestone Payments protect your spend at every stage of the engagement, from corpus delivery to final model evaluation.

Post a project on Freelancer.com today and connect with skilled computational linguists ready to build, annotate, and evaluate the language systems behind your product.

What are the steps to hiring a freelance computational linguist?

Hiring a computational linguist is easier when your brief is precise about the language data, the target task, and how success will be measured. The following three steps walk you through posting your project, reviewing bids, and awarding the work with confidence.

Step 1: Post your project on Freelancer.com

Your project post is the single biggest factor in the quality of bids you receive. A clear brief filters out generalists and attracts computational linguists whose language coverage, domain experience, and tooling actually match your problem. Head to the post project page , fill in the brief, scope, timeline, and budget, and publish the project for freelancers to bid on.

Specify the languages and dialects involved, including any low-resource or code-switched data

Describe the task type clearly: annotation, model fine-tuning, evaluation, lexicon building, MT post-editing, or something else

List required tools and formats, such as spaCy, Hugging Face, Prodigy, CoNLL-U, or JSONL

Provide domain context and a representative data sample if possible, with any privacy constraints noted

Define deliverables and success criteria, including target metrics like F1, BLEU, or inter-annotator agreement thresholds

State the timeline and budget range, and whether you need ongoing support after delivery

Step 2: Review bids from freelancers

Bids on a computational linguistics project are short proposals, not just price quotes. They reveal how the freelancer interprets your task, what approach they would take, and whether they have spotted the linguistic complexities you might have glossed over. Read each bid carefully and shortlist candidates whose understanding of the work clearly matches the brief.

Look for proposals that name specific models, tokenizers, or annotation schemes appropriate to your data

Favor freelancers who ask sharp clarifying questions about edge cases, ambiguity, and evaluation

Check that the proposed timeline accounts for guideline writing, pilot annotation, and error analysis, not just model training

Review attached samples such as past annotation guidelines, model evaluation reports, or published papers

Use Freelancer.com chat to discuss data privacy, licensing, and access to proprietary corpora before shortlisting

Step 3: Evaluate freelancers and award the project

The final decision combines proposal quality with profile evidence. For computational linguistics work, weigh the consistency of past results across languages and domains rather than a single impressive deliverable. Look for freelancers whose portfolios show structured thinking about data, evaluation, and error analysis.

Examine portfolio depth: annotated corpora, model cards, evaluation write-ups, and open-source contributions

Check star ratings alongside the volume of completed projects in NLP and linguistics categories

Read written client reviews for comments on accuracy, documentation quality, and responsiveness

Confirm verified payment method, completion rate, and on-time delivery rate on the profile

Award the project and use Freelancer.com Milestone Payments to release funds as annotation batches, model checkpoints, or evaluation reports are delivered

What is the difference between a computational linguist and an NLP engineer?

A computational linguist focuses on the linguistic structure and meaning of language data: annotation schemes, grammars, lexicons, error analysis, and evaluation design. An NLP engineer focuses more on building and deploying the software and models. Many freelancers cover both, but for annotation, evaluation, and low-resource language work you want the linguistic depth.

Can I hire a computational linguist for a short, one-off project?

Yes. Common short engagements include writing annotation guidelines, auditing a model's errors, building a domain-specific gazetteer, or producing a small high-quality test set. These projects often run from a few days to a few weeks and deliver outsized value relative to their scope.

Do I need a computational linguist if I am already using a large language model?

Often, yes. Large language models still need careful evaluation, prompt design, and domain adaptation, and they fail in linguistically predictable ways. A computational linguist can build the test sets, annotation pipelines, and error taxonomies that tell you whether the model is actually fit for your use case.

How long does a typical computational linguistics project take?

Annotation guideline drafting and pilot annotation usually take one to three weeks. Building and evaluating a custom NER or classification model for a new domain typically runs four to twelve weeks depending on data volume and language coverage. Larger multilingual programs are scoped in phases.

Do I need a freelancer or an agency for this work?

For focused, well-scoped problems such as a specific annotation task, an evaluation audit, or a single-language model, an experienced freelancer is usually faster and more cost-effective. Agencies make more sense when you need a managed annotation workforce across many languages simultaneously.