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Freelance Roles in AI, Data Annotation & STEM Projects
We are seeking reliable freelancers for various remote, paid projects in AI, data annotation, and STEM-related tasks. These tasks include: AI Training & Data Annotation: Image, text, voice, and video tasks STEM & Research Assignments: Basic software/data-based STEM tasks and remote research assistance Content Labeling & Categorization: Organizing and evaluating data Software Development & Coding Projects: Tasks related to programming and development Apply here - https://lnkd.in/dw56qSSe Note: This is an online hiring process that includes tests and ID verification as part of the registration process on Mercor.
Data service
We're seeking a skilled AI Data Science expert to build and deploy machine learning models for our [e.g., e-commerce/analytics platform]. You'll analyze large datasets, develop predictive algorithms, and integrate AI solutions to optimize business processes. This is a freelance project with potential for ongoing work. Budget: [Specify your budget, e.g., $X - $Y]. Timeline: [e.g., 4-6 weeks initial phase].Key Responsibilities Collect, clean, and preprocess large datasets from various sources (e.g., SQL databases, APIs, CSV files). Design and implement machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn for tasks such as classification, regression, NLP, or computer vision. Perform exploratory data analysis (EDA) and feature engineering to uncover insights and improve model performance. Train, validate, and tune models with techniques like cross-validation, hyperparameter optimization (e.g., GridSearch, Bayesian optimization), and handle overfitting/underfitting. Deploy models into production environments (e.g., via Docker, AWS SageMaker, or Flask APIs) and monitor performance with tools like MLflow or TensorBoard. Integrate AI features, such as recommendation systems or anomaly detection, into existing applications. Collaborate on data pipelines using tools like Apache Airflow, Spark, or Pandas for ETL processes. Document code, models, and findings; provide reports and visualizations (e.g., using Matplotlib, Seaborn, or Tableau). Ensure ethical AI practices, including bias mitigation and data privacy compliance (e.g., GDPR).
I need a list of GP practices with their email addresses.
I need a list of all GP practices in Australia, New Zealand and Canada with the practice name, website address and email address for each in a googlesheet format (where available).
opportunity
RAG Database Development
RAG database development help wanted. PLEASE REVIEW CAREFULLY (no copy / paste proposals) 1) Looking for somebody who understands this: https://www.pinecone.io/learn/series/rag/rerankers/ Briefly explain (one or two sentences, don't ChatGPT it), note previous work you have done relevant to this. Just very briefly. 2) We have a LOT of content. A decade's worth of posts, 10,000+ support requests answered, a 70k Youtube channel, podcasts, etc. Want to build a RAG database with the most relevant data to train a front end LLM on for member questions. THIS PROJECT IS FOR RAG DATABASE ONLY. You can bid on building the full system, or: Bid a lesser amount to build initial database JUST on Web content (no 10k support answers etc). That's a much smaller database, less data to work through, and gives both sides an opportunity to work together first and see how well we do. I recommend the second option. All copy / paste proposals (there are usually a lot) and ChatGPT proposals won't be considered. Any bids for the full amount will be reviewed more critically (again, I recommend not being greedy and suggesting the smaller initial project first). Previous experience is REQUIRED. Before engaging we will definitely check on your work. If you have no history here at all, note that we will be more concerned about your ability to follow through. Thanks for checking out our project!
Online Data Research
Looking for a freelance opportunity where you can make an impact on technology from the comfort of your home? If you are dynamic, tech-savvy, and always online to learn more, this part-time flexible project is the perfect fit for you! A Day in the Life of a Personalized Internet Assessor: In this role, you’ll be analyzing and providing feedback on texts, pages, images, and other types of information for top search engines, using an online tool Through reviewing and rating search results for relevance and quality, you’ll be helping to improve the overall user experience for millions of search engine users, including yourself. Join our team today and start putting your skills to work for one of the world's leading search engines. The estimated hourly earnings for this role are 14 USD per hour. TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements Working as a freelancer with excellent communication skills in English Being a resident in the United States for the last 3 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the US. Active use of Gmail and other forms of social media and experience in the use of web browsers to navigate and interact with a variety of content Daily access to a broadband internet connection, a smartphone (Android 5.0, iOS 14 or higher), and a personal computer to work on. Assessment In order to be hired into the program, you’ll take a language assessment and an open book qualification exam that will determine your suitability for the position and complete ID verification. Don’t worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Apply now and earn a $150 bonus when you pass the exam, complete ID verification, submit the acceptance form and all required documents within 7 days. You must also stay active in the program for at least 3 months to qualify. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
Past Projects
I am doing a drph project in public health
I am working on a DrPH project in public health and I am seeking a data analyst who is skilled in SPSS to assist with secondary public data, specifically for data cleaning and exploratory analysis at this stage. I am also interested in learning the steps of the analysis process so that I can apply them independently in the future.
CRM Data Cleansing Specialist
Description: We are looking for an experienced CRM Data Specialist to help us clean, validate, and standardise data across our CRM, marketing platform, and other connected systems. Our current data contains inconsistencies, duplicates, and incomplete records, and we need someone who can not only fix the current issues but also put processes in place to maintain data quality moving forward. Responsibilities: - Audit our CRM and marketing databases to identify duplicates, incomplete records, and formatting inconsistencies. - Clean, deduplicate, and standardise data (e.g., names, addresses, phone numbers, email formats). - Validate and enrich records where possible. - Create rules, workflows, and/or automations to maintain clean data in the future. - (Preferred) Assist in syncing and integrating data between our CRM, marketing platform, and other tools. - Provide recommendations for ongoing data governance and quality assurance. Requirements: -Proven experience with CRM data clean-up (please specify which CRMs you’ve worked with: Salesforce, HubSpot, Zoho, etc.). - Strong knowledge of data validation, deduplication, and formatting best practices. - Comfortable working with large datasets. - Experience setting up automations or validation rules in CRM platforms. - (Preferred) Knowledge of integrations via Zapier, Make (Integromat), APIs, or native CRM connectors. - Strong attention to detail and ability to work independently. Project Scope: - Initial one-off clean-up of existing CRM and marketing database(s). - Potential for ongoing maintenance and data governance support after the initial project.
AI Service Specialist for Data Analysis and Automation
We are looking for an AI Service Specialist to help us analyze and automate our data processes. The ideal candidate will have experience with AI technologies and be able to work with our team to develop and implement AI solutions that meet our business needs. Responsibilities: Develop and implement AI solutions to automate our data processes. Work with our team to identify areas where AI can be used to improve efficiency and productivity. Collaborate with data scientists and engineers to develop and train AI models. Test and optimize AI models to ensure they are performing as expected. Work with our team to implement AI solutions into our existing systems and processes. Monitor and maintain AI solutions to ensure they are running smoothly. Requirements: Bachelor's degree in Computer Science, Data Science, or a related field. Experience with AI technologies, such as machine learning, natural language processing, and computer vision. Strong programming skills in Python, R, or Java. Experience with data analysis and visualization tools, such as Tableau and Power BI. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Experience with cloud computing platforms, such as AWS or Azure. Experience with automation tools, such as Jenkins or Docker. If you are a passionate AI enthusiast with a strong background in data analysis and automation, we would like to hear from you. Please submit your resume and cover letter for consideration.
Fuzzy Matching
I need an expert in fuzzy matching to match 1,000 candidates against a database of 800,000 candidates. The full requirements are: 1) Prepare the data for matching, ensuring consistency and completeness. 2)Develop and implement a robust fuzzy matching algorithm to match candidates 3)Ensure the algorithm accounts for variations in the data, such as typos, abbreviations, and synonyms. 4)Execute the fuzzy matching process to identify and rank potential matches for each candidate 5)A physical check of matches that fall below the confidence rate and a judgement made on whether they should be accepted or rejected as a match. 6) Provide a report detailing matched candidates and confidence scores, and whether they are accepted or rejected as a match.
opportunity
Brand visibility in LLMs for a client
We have a client in consumer goods (CPG) who needs a dashboard to be developed that monitors their brand ranking, share of voice, and sentiment across top LLMs. They operate in multiple categories with many brands, and across different countries. Share how you'd go about delivering this, what tech stack you'd use, and a cost/time estimate for an MVP
GPT-Powered Contact Prioritisation
I need to build a reusable process that processes contact lists using job titles to intelligently rank and select top contacts by priority. The system should leverage GPT (e.g. via OpenAI’s Batch API or similar) to understand context from job titles, assign scores based on relevance to tiers, and categorise contacts into tiers (e.g. Tier 1 = 80–100%, Tier 8 = 0–20% relevance). It must allow me to quickly update tiering criteria and job title logic for different lists and use cases. The final output should clearly mark in an adjacent column the selected top contacts per company based on a configurable number per company group based on tiering score (e.g. select top 6 per company, top 10, or up to 250). Excel preferred, but can use Google Sheets if considerable easier. Suggested Approach (You’ll Implement This). You may have a better approach but it has to be capable of reviewing a spreadsheets that contains say 20,000-50,000 job titles so keep that in mind. Use Python and pandas to read and process contact spreadsheets. Use OpenAI's Batch API to score job titles based on prompt logic like: “Score the following job title from 0–100 for relevance to investor outreach: ‘Partner, Venture Capital’” Assign scores, then map into tiers (e.g. 80–100 = Tier 1). Tiering needs to be editable i.e. change number of tiers and change job level criteria in tiers Group by company and select the top N contacts (i.e. be able to pick the number of contacts the process selects per same company say between 1 and 250), writing "Selected" into the sheet. Final output should be written back to Excel, ready to use. I'll need a simple, well-documented script that can be reused for future spreadsheet datasets with minimal changes plus explanation of how to change it. Tiering System The system should apply the following default tiering structure for this build processs (editable for future runs): Tier 1: Head of Investments, Head of Alternatives, Head of Funds, Head of Private Equity, Head of Fund Selection, Head of Asset Allocation, Head of Manager Selection, Head of Private Markets Tier 2: Chief Investment Officer, CIO, Global Head of Investment (i.e. very senior, but not specific to one area of manager selection) Tier 3: Senior roles with titles that include keywords like Investment, Alternatives, Funds, Private Equity, Fund Selection, Asset Allocation, Manager Selection, or Private Markets – where the individual is likely actively reviewing funds Tier 4: Mid-level roles containing the same keywords, involved in reviewing or sourcing funds Tier 5: Founder, CEO, President, Partner Tier 6: Managing Director, Director, Manager Tier 7: Principal, VP Tier 8: Associate, Analyst Scope of Work: Develop a Python script Read input spreadsheet (with columns like company, name, job title) Send job titles to GPT (via OpenAI Batch API or alternative) Score and tier contacts based on output Select top N per company and label them "Selected" Ensure tier rules and selection limits are configurable Deliver reusable and editable code with basic instructions
QA Reviewers in Greek, Danish, or Norwegian
QA Reviewers in Greek, Danish, or Norwegian are needed to assess the quality of audio transcription and interception in these languages. The responsibilities include reviewing audio, validating transcription accuracy, flagging issues, and providing feedback. The ideal candidate should have experience with transcription or data annotation, be detail-oriented, and reliable. The work can be done from a PC, not mobile.