Freelance Data Entry Jobs

Legal Assistant Needed to Input Agreed Divorce Financial Info

I am completing the information required for a financial order as part of a divorce. The financial information and agreements have already been prepared in writing, with key details reviewed by a solicitor and accountant. No legal or financial advice or decision-making is required. I am looking for someone to take the information from the written document and accurately enter it into the Amicable online dashboard, using both my and my ex-partner’s accounts. The task involves: * Reading the written information setting out our financial position and agreements * Entering the relevant information into the appropriate sections of the Amicable dashboard for both parties * Ensuring the information entered accurately reflects the written document * Flagging anything that is unclear rather than making assumptions Both my ex-partner and I will review the completed information before anything is submitted. I expect this to be relatively straightforward and take approximately 1–2 hours. I am happy to pay for two hours initially, but please let me know if you expect it to take longer. Ideally, I am looking for a legal assistant/paralegal with good attention to detail, who is comfortable working with divorce/financial information and transferring information accurately between documents and online forms. No drafting of the financial agreement or decisions about the settlement are required. This is primarily an accurate data-entry and document interpretation task. 2 hours, £50 per hour (should take 30-60 mins to understand the written agreement and pull out key info, and around 30 mins x 2 to input details into the two amicable accs).

Email Sorter

Seeking a skilled developer to create an automated email list sorter using Python. Project entails ingesting raw email lists, parsing and validating addresses, deduplicating entries, normalizing formats, classifying by domain and custom tags, and exporting clean, structured outputs (CSV/JSON). Solution should handle large datasets efficiently, include robust error handling and logging, and be accompanied by clear usage instructions and well-documented, maintainable code.

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Product Scraper, Dutch Translation & WooCommerce Sync

I am looking for an experienced developer to build a reliable system that can automatically collect product data from an external marketplace and synchronize it with WooCommerce. The project involves approximately 13,000 products. The system should be able to: - collect product information and images; - structure the product data correctly; - translate relevant product content into Dutch; - create and update products in WooCommerce; - detect product changes; - identify products that are no longer available; - keep WooCommerce synchronized automatically on a recurring basis; - run reliably with minimal manual intervention. The source marketplace uses DataDome. I am intentionally not specifying the technical implementation. I am looking for someone who can independently assess the project and determine the most suitable and reliable solution. SELF-HOSTED SCRAPER REQUIRED The developer must build, install, and configure a custom scraper that runs automatically on my own server, including translation and recurring synchronization with my WooCommerce store. I require an operational system, not a one-time data export. The fixed price must include complete source code, server installation, configuration, documentation, and a working end-to-end system. Please specify your server requirements and disclose any paid external services, dependencies, or recurring costs. Please include in your proposal: - whether you can complete this project; - relevant experience with similar projects; - estimated delivery time; - total fixed price for development; - any expected ongoing or monthly operational costs. I am mainly interested in receiving a clear technical assessment and a realistic price. Please avoid generic proposals. Experience with large-scale product data extraction, automation and WooCommerce integrations is preferred. The listed budget is indicative. Please provide your realistic fixed-price quote for the complete project.

Go to Market for Leapfy

We are seeking an experienced Go-to-Market (GTM) and Outbound Specialist to drive our market entry and customer acquisition strategies. The ideal candidate will have a proven track record in developing and executing effective GTM plans and managing outbound campaigns. A key requirement for this role is proficiency in using Sendio.ai for email outreach and automation. Responsibilities will include identifying target markets, crafting compelling outbound messages, managing email campaigns, analyzing performance metrics, and optimizing strategies for lead generation and conversion. We are looking for a proactive individual who can contribute significantly to our growth by reaching new audiences and expanding our market presence.

Healthcare Blockchain based platform

We’re currently developing an innovative healthcare blockchain platform designed to improve pharmaceutical traceability, supply-chain visibility, data integrity, and compliance across regulated environments. We’re looking to developers that can help us turn the concept into a secure, scalable MVP and potentially support the project through future stages. If this aligns with your expertise, I’d be happy to share the project overview and technical roadmap for your review. We’d be very interested in learning about your experience and exploring whether there’s a strong fit for collaboration.

Business Development

Company: DA Removals Location: Remote Employment Type: Freelance About DA Removals DA Removals provides professional and reliable removal and relocation services. We are looking for a proactive and organised Business Development Executive to help us develop new business opportunities and build relationships within the assisted living and sheltered accommodation sector. The Role The main focus of this role will be to research, identify and contact warden-assisted accommodation, sheltered housing schemes, retirement living communities and similar residential facilities. You will be responsible for creating a high-quality database of relevant organisations and decision-makers, making initial contact, introducing DA Removals' services, and identifying opportunities for potential partnerships and referrals. Key Responsibilities • Research and identify warden-assisted accommodation, sheltered housing schemes, retirement communities and supported living facilities. • Build and maintain a detailed database of potential contacts and organisations. • Identify key decision-makers • Make initial contact via telephone, email and other appropriate business channels. • Introduce DA Removals and explain the services we can provide to residents who are moving into, out of or between accommodation. • Develop relationships with accommodation providers and explore partnership or referral opportunities. • Keep accurate records of all research, communication and follow-up activity. Skills and Experience The ideal candidate will have: • Strong research and internet-based lead generation skills. • Excellent communication skills, both written and verbal. • Confidence speaking to businesses and decision-makers by telephone. • Good organisational and administrative skills. • Experience using spreadsheets, CRM systems or lead databases. • The ability to work independently and manage their own workload. • A proactive and professional approach to business development. • Previous experience in sales, lead generation, business development or customer service is desirable but not essential. What We Are Looking For We are looking for someone who is resourceful, confident and persistent. This is not simply a data-entry role — the successful candidate will actively research opportunities, make contact with potential partners and help create a strong pipeline of new business for DA Removals. The ultimate goal is to establish DA Removals as a trusted removal and relocation partner for residents, families, housing providers and managers within the sheltered and assisted living sector.

SEO improvements on a website on the Wix platform

Seeking an experienced Wix SEO specialist to audit and elevate our website to excellence. Using Wix’s SEO checklist, assess all items and implement optimizations to achieve perfect scores (10/10) across technical, on-page, and content-related factors. Must be proficient with Wix’s SEO tools, meta tags, structured data, page speed, mobile performance, sitemaps, redirects, canonical tags, and image optimization. Deliver comprehensive updates, verify results, document changes, and provide brief recommendations for ongoing maintenance.

urgent

Drawing elevations, plans & sections from point cloud recap data

ongoing work available Drawing elevations, plans and sections from point cloud recap data - examples will be given to replicate style etc

Editorial backlinks

Seeking high-quality editorial backlinks for my website. Required links must be genuine editorial placements on reputable, high-DA, high-traffic sites—no PBNs, spammy domains, or link farms. Deliver placements within contextually relevant articles, ensuring natural anchor text usage and editorial integrity. Provide links from authoritative publishers with organic readership and transparent metrics. Prioritize long-term value, adherence to SEO best practices, and verifiable placement reports including URLs and domain authority data.

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Cryptocurrency website article published

I want to publish articles on a cryptocurrency website. The website needs to have good SEMRUSH data. Please provide the website and price if you can offer a quote.

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AI Pricing & Valuation System

# Tender Brief – AI Pricing & Valuation System ## Project Overview We are a multi-site second-hand retail business operating a buy, sell and buyback model. We currently value products using a combination of: * eBay sold prices * CEX prices * Customer history * Our own large historical transaction database * Current stock levels * Staff experience We are looking for a software / AI development partner to build an intelligent pricing engine that integrates with our existing EPOS system. ## Objective The system should recommend the optimal price we should offer a customer for a product. It should use both our own historical data and external market data to produce a more dynamic and commercially accurate valuation. The aim is to improve: * Buying accuracy * Gross profit * Stock turn * Consistency between stores * Offer acceptance * Inventory management ## Initial System Requirements The first version should ideally: * Identify and standardise the product being valued * Analyse our historic purchase and selling data * Incorporate eBay and CEX market pricing * Predict likely resale price * Predict expected time to sale * Consider current stock and sales demand * Recommend an acquisition price * Provide a confidence score * Allow staff to override the recommendation * Record results so the system can improve over time Example output: **Recommended offer: £405** Expected resale: £550 Expected sale time: 19 days Current stock: 4 30-day sales: 27 AI confidence: 96% ## Technical Approach We expect the solution to integrate with our existing EPOS through an API. We are open to the supplier recommending the most appropriate technologies, potentially including: * Machine learning such as XGBoost or LightGBM * OpenAI or similar AI models for product identification and image analysis * External market-data integrations * Predictive pricing models * Inventory and demand modelling We do not expect a large-language model alone to determine product prices. ## Our Data We hold a substantial database including information such as: * Products * Purchase prices * Selling prices * Purchase and sale dates * Stock history * Store/location * Product condition * Customer history * Buyback history * Staff valuations * Current inventory The successful supplier will need to assess the quality and structure of this data and recommend how it should be used. ## Initial Rollout We would ideally operate the system in **shadow mode** initially. The AI would calculate its recommended price alongside our existing staff valuations without influencing the actual transaction. This would allow us to compare: * AI recommendation * Staff recommendation * Actual amount paid * Eventual selling price * Stock days * Actual profitability Only once the model has demonstrated improved performance would it be introduced into live pricing. ## Future Development The system should ideally be capable of later expanding into: * Buyback-specific pricing * Dynamic retail pricing * Automatic markdown recommendations * Store-to-store stock transfers * Inventory optimisation * Product demand forecasting ## What We Would Like From Suppliers Please provide: * Your proposed technical solution * Relevant experience * Recommended AI / machine-learning approach * How you would integrate with our EPOS * How you would use our existing data * Approach to eBay / CEX market data * Development costs * Ongoing costs * Proposed project stages * Examples of similar work We are particularly interested in suppliers with experience in retail pricing, second-hand goods, machine learning, dynamic pricing, inventory optimisation or EPOS integrations. ## Key Question As part of your proposal, please explain: **How would you prove that the AI pricing recommendations are commercially better than the decisions currently being made by our experienced staff?**

Cpanel Malware Attack Fix

Hi, i am really worried, my cpanel got attacked by malware few days ago and now some of my websites database are gone missing. When i open the site it show "Error establishing a database connection". I checked phpmyadmin and few db just not there anymore. I think its some backdoor script or malicious file hiding in public_html, maybe a fake plugin or a cron job doing this in background. I need someone who really know WHM/cpanel security, can clean the malware properly, check csf firewall and cron jobs, and try to restore my database from backup (i have jetbackup i think, not 100% sure). Please only apply if u have real experience with this, im scared to loose more data.

pre-funded

Compile UK&I stockists list of key jewellery brands

Compile a comprehensive UK & Ireland stockists list for two leading jewellery brands. Using each brand’s official store locator, identify and record all Pandora and Nomination Italy retail locations across the UK and Ireland. Deliver a clean, deduplicated spreadsheet with store name, full address, town/city, postcode, and source URL. Ensure accuracy, consistent formatting, and inclusion of flagship and authorized stockists. Verify entries and remove duplicates for a concise, reliable directory. my attempt from AI not accurate

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Algorithmic Developer – Provably Fair & RNG Systems

About the Project: We are seeking an experienced Developer / Machine Learning Engineer with deep expertise in Random Number Generation (RNG) algorithms and Provably Fair architectures. The goal of this project is to analyze, optimize, and potentially rebuild our current predictive/analytical model pipeline. Currently, we have an active LSTM-based model setup. We need an expert who can evaluate its architecture, improve its accuracy and efficiency, or design superior alternative models from scratch tailored to our specific data distribution and fairness requirements. Key Responsibilities: Audit and optimize the existing LSTM model pipeline for better performance and predictive accuracy. Evaluate alternative architecture options (e.g., Transformers, Markov models, or hybrid architectures) and build new models from scratch if required. Ensure all algorithmic logic strictly aligns with RNG principles and Provably Fair cryptographic standards (HMAC, SHA-256 / SHA-512 verification). Fine-tune hyperparameters, validate data pipelines, and reduce model latency. Requirements: Proven track record working with RNG (Random Number Generation) and Provably Fair frameworks in production environments. Deep experience in Time-Series Forecasting and Sequential Data Modeling using LSTM, GRU, or Attention/Transformer networks. Strong background in PyTorch or TensorFlow. Solid understanding of cryptography basics relevant to Provably Fair verification mechanisms.

Comparative Science Literature Review

I need a well-structured literature review in the broad domain of Science and Technology that goes beyond a simple summary. The goal is to place the most influential studies side by side, critique them, and reveal where the field still lacks consensus. Your work should weigh methodologies, data sets, and conclusions against one another so readers can see how each paper advances—or contradicts—the next. To keep the review usable for publication, please ground every point in peer-reviewed journal articles, major conference papers, or reputable pre-prints. Accuracy, clarity, and strong academic writing are essential; no original experiments are required, only careful comparative synthesis. Deliverables • 3,000–4,000 word narrative review organised by clear sub-headings • A comparative table or matrix that highlights for each key study: objectives, methods, data sources, findings, and stated limitations • Reference list formatted in APA 7th (or IEEE if you prefer—let me know) • Turnitin similarity report below 10 % and proof of proper citation throughout Acceptance Criteria • Every claim backed by a properly cited source • Logical flow from introduction through discussion of gaps and future directions • Zero AI-generated hallucinations; facts must match the cited papers If you have recent experience compiling comparative reviews in science or engineering domains and can deliver crisp, insightful analysis, I’d love to see a brief outline of how you would structure the paper and a couple of sample references you’d include.

PPC/Paid Specialist ShortTerm Campaign Testing & Data Generation

We are looking for a Social Media Marketing Campaign Specialist to support a short-term project involving paid advertising campaigns across multiple social media platforms. Our goal is to run controlled advertising campaigns across different platforms and generate sufficient campaign and audience data for analysis. The ideal candidate should be able to: • Develop a practical and cost-effective paid social media campaign strategy • Recommend the most suitable platforms based on our objectives and budget • Help create and configure advertising/business accounts where required • Set up and launch paid campaigns across platforms such as Facebook/Instagram, LinkedIn, X, TikTok, Google/YouTube, or other relevant channels • Implement tracking parameters and campaign structures that allow us to generate useful marketing data • Monitor campaigns and make adjustments to improve reach, engagement, conversions, and data quality • Advise us on how to achieve meaningful campaign results while keeping advertising spend economical • Provide a summary of campaign performance, observations, and recommendations We are particularly interested in someone with hands-on experience managing paid campaigns across multiple social media advertising platforms and who understands how to design campaigns for testing, experimentation, and analytics. Please apply with: • Platforms you have hands-on advertising experience with examples of similar multi-platform campaigns you have managed • Your expected fee or hourly/project rate This is initially a project-based engagement, with potential for additional work depending on the results.

Search Valuations and Financials for 23 companies

Hi, I am looking for a freelancer that can go to google and find the valuations and financials for a list of 23 companies. This should be a relatively small task, but I am looking for a long term collaboration as we have regularly this kind of work coming in, moreover if you are good you are able to grow and develop within our company. Feel free to use AI, but make sure the results are reliable (That’s why I need the urls of where the data can actually be found). Attached is an excel sheet with the companies and the fields that need to be filled in in yellow (and with a “?”). I filled in “Lendinvest” so you can get an idea what I am looking for. If you want to send a serious proposal, please let me know a bit about your background and the numbers for “Shawbrook” so I can get an impression of whether you know what you are doing and of course this first search should be included in your quote. In particular I am need the following fields: Valuation, Goodwill, Revenue, Ebitda, Gross Profit, Total Loan Portfolio, Loan Portfolio on Book, Total Loan Origination and the date of the valuation, the url where you found the valuation, the date of the financials and the url of the financials. Note that: 1. the date of the valuation should match the period of the financials, 2. not all fields might be available and 3. I need the url of where the data can actually be found (e.g. annual accounts for financials, press release or stock market quote for valuation), not the search query. Looking forward to your proposal, Jetze Sikkema

KoboToolbox / XLSForm Specialist Needed — Fast 5-Day Build

I am looking for an experienced KoboToolbox/XLSForm specialist to convert existing Word/Excel research instruments into functional, field-ready digital data-collection tools. The questionnaires and research instruments have already been developed, so this is primarily a technical XLSForm/Kobo build rather than questionnaire design. The successful freelancer will need to understand the structure of the instruments, translate them accurately into KoboToolbox, implement the required logic and calculations, and test the forms before deployment. Tools to be developed The assignment includes: Household baseline questionnaire — the main and most complex instrument, including household-member repeat groups, livelihoods/income activities, businesses, fuel/energy records, calculations, relevant scoring and derived indicators. Group/table-banking verification form. Structured observation checklist. Structured KII/market data-collection form. KII/FGD session metadata/summary form. Technical requirements The forms will require appropriate use of: Skip/relevance logic and conditional sections. Repeat groups. Calculations and derived variables. Income/expenditure and energy-related totals. Validation and constraints. Required fields. Choice lists and appropriate question types. Metadata fields such as date/time, enumerator and location where applicable. Clean variable naming and logical form organisation. WHO-5 or other agreed scoring calculations where specified in the questionnaire. The freelancer should preserve the approved research questions and indicator definitions. Where a technical issue or possible simplification is identified, it should be flagged for discussion rather than changing the research design independently. Testing The completed forms should be uploaded to a test KoboToolbox project and checked for: Skip/relevance errors. Calculation errors. Repeat-group functionality. Validation/constraint issues. Basic enumerator usability. Offline functionality where applicable. One reasonable round of corrections will be required after my review. Deliverables The successful freelancer will provide: Fully functional KoboToolbox forms/project. Editable XLSForm .xlsx source files for each tool. Brief notes explaining important calculations or logic. Basic guidance for enumerators/data managers where necessary. Timeline and budget Fixed budget: USD 150 Maximum turnaround: 5 days. Quick turnaround is preferred. Applicants who can start immediately or within 24 hours are particularly encouraged to apply. Who I am looking for I need someone who has actually built multi-module Kobo/XLSForm instruments, rather than someone whose experience is limited to creating simple questionnaires. Please include 2 examples of comparable Kobo/ODK/XLSForm work, your earliest availability, and how quickly you can complete the assignment. The questionnaire and project information are confidential. The selected freelancer will be required to sign a simple NDA before receiving the complete confidential materials and KoboToolbox access.

Providing BoQ from your previous projects

Hi, I am conducting research into the building and finishing materials used in small and medium-sized UK property development and refurbishment projects. My main focus is on: * Apartment refurbishment projects * House refurbishment projects * Small residential, commercial, or mixed-use building developments We would like to obtain data from recent projects you have previously worked on, preferably covering more than one project type and size. For each project, we are interested in the following data: 1. Project type, approximate size, and location. 2. Building and finishing materials used. 3. Technical specifications of the materials, including grades, dimensions, performance requirements, applicable standards, brands, and product references where available. 4. Quantities of each material with their units. 5. Material prices recorded or quoted for the project. 6. Whether the materials were manufactured in the UK or imported and, where known, the country of origin. Previous Bills of Quantities, material schedules, specification schedules, cost breakdowns, or relevant extracts from your project records would be suitable if they contain this information. Please let me know what data you would be able to provide, the cost of the service, and the time required. Regards,

Organizing Existing Footage Logs into a Unified Clip List

I have several recording sessions already done, and for each session I created a rough footage log in separate documents (Word/Google Docs). Each log has file names, approximate timecodes, and short, inconsistent notes about what happens in each clip. The format, level of detail, and naming style are different across all the logs, which makes it hard to find specific clips later when I start editing. I need someone to take all these existing footage logs and turn them into one unified, consistent clip list that I can use internally during editing. You will receive: All the current footage log documents (multiple files). A short note from me explaining the general type of content recorded (e.g., interviews, B‑roll, product shots). Your work will include: Reading through every footage log I send. Extracting each clip entry (file name, timecode, description). Rewriting the descriptions so they are clear, concise, and follow the same style for every clip. Ensuring file names and timecodes are formatted consistently across the entire list. Arranging all clips in a logical order (for example, by session/date, then by timecode). Delivering the final unified clip list as a single document (Google Doc or Word file). The final document should have: One row or line per clip. Columns or fields for: Session/Date, File Name, Start Timecode, End Timecode (if available), Short Description of Content. Consistent wording and formatting throughout, so I can quickly scan and locate specific clips. This unified clip list is only for my own internal reference when editing later. It will not be shown to clients, posted on any website, or used on any external platform. If you have experience working with footage logs, clip lists, or post‑production documentation and you’re comfortable standardizing and cleaning up this kind of material, please send a message describing: Any similar work you’ve done with video footage logs or clip lists. How you usually approach standardizing descriptions and formatting across multiple documents.