Food Safety Training Projects

Looking for English native B2B Telemarketer / Lead Generator

Business Development Executive / Lead Generator (Contract) Remote | Contract Role | Basic Salary + Uncapped Commission Incentives We are looking for a confident, driven and motivated Business Development Executive / Lead Generator to join our growing team. You will be responsible for contacting UK businesses from company-provided spreadsheets and databases, identifying opportunities and introducing our range of business services to potential clients. Working primarily from supplied data, you will speak with business owners and decision-makers, understand their current arrangements and identify opportunities where our services can save them money, improve efficiencies or generate additional revenue. The services you will be promoting include Business Energy, Business Water, Waste Management, Telecommunications, Card Machines and EPOS Systems, Business Insurance, Business Funding, Commercial Solar Solutions and Commercial EV Charging Solutions. The successful candidate will be confident on the phone, possess excellent communication skills and be comfortable speaking with business owners and senior decision-makers. Previous experience in telemarketing, telesales, lead generation or business development would be advantageous but is not essential for the right candidate. You must be fluent in English with a professional and friendly telephone manner, be self-motivated and target-driven, and have the ability to work independently while managing your own workload effectively. We provide the data, training and support — you provide the enthusiasm, professionalism and determination to generate opportunities and help turn conversations into completed business. This role offers a lower basic salary than a traditional sales position as it has been designed to reward performance through generous commission incentives. In addition to your salary, you will receive a percentage of the commission generated on every deal that successfully completes from your leads. The more opportunities you create and the more deals that get over the line, the more money you earn. There is no cap on earnings, making this an excellent opportunity for ambitious individuals who are motivated by performance and enjoy being rewarded for results. This position is initially offered on a contract basis, however there is potential for a permanent role in the future for the right candidate should the relationship prove successful for both parties. If you are confident on the phone, enjoy speaking with business owners and are looking for an opportunity with genuine earning potential, we would love to hear from you.

Pilot Program Agreement — Singapore EdTech

Client: U.S.-based developer of children's social-emotional learning (SEL) products Project: Beta pilot testing with Montessori schools and after-school programs in Singapore Documents to produce: 2 final, execution-ready instruments Deliverables Table # Deliverable Specification 1 Pilot Participation Agreement Singapore law governing; SIAC arbitration clause; PDPA 2012 compliance for children's data; GST treatment for non-registered supplier; IP ownership and feedback assignment; "AS-IS" beta disclaimer with liability cap; 3 pages maximum 2 Parental Consent Form PDPA 2012 compliant; clear data collection purpose and scope; controller/processor identification; voluntary participation with withdrawal right; data subject rights (access, correction, deletion); cross-border transfer disclosure (U.S. servers); 30-day retention and destruction method; contact for inquiries; parent/guardian signature block; 1 page maximum, plain language for non-lawyer parents Timeline Propose your own — include estimated drafting days and revision rounds in your response. What We Provide Product description and pilot structure (4-week, capped participants, SGD fee, remote training, automated telemetry) Data categories collected (first name/pseudonym, age bracket, session interaction logs, card linger time, aggregated behavioural telemetry) Confirmation: no photographs, full names, government ID, or medical data collected U.S. server location for digital processing Target markets: Montessori institutions and private after-school enrichment centers What We Expect From You Called to the Singapore Bar Demonstrated experience with PDPA 2012 and technology/service agreements Fixed-fee proposal or hourly rate with not-to-exceed estimate Proposed timeline from engagement to final delivery One round of revisions included in quote (additional changes billed separately or re-quoted) Selection Process Proposals accepted on rolling basis Decision based on: relevant experience, clarity of proposal, timeline fit, fee reasonableness fit and demonstrated expertise weighted heavily Submit: Fee proposal, timeline, and 2 relevant matter examples.

Build a Secure Live AI Research Data Processing Prototype

Rapid Low-Code AI Document-Parsing Web Prototype (Secure Cloud Tenant) in Microsoft Copilot Studio / Azure OpenAI Project Overview: I need a highly concise, working prototype of a secure web application interface. The sole purpose of this app is to demonstrate a secure, live text-processing pipeline during a brief stakeholder review. It must ingest a raw text document/dataset, simulate a structured evaluation process against a pre-set compliance rubric, and dynamically display an optimization analytics page. Key Requirements to Implement: 1. Secure File Upload Interface A minimal, clean user interface with a file drop zone labeled: "Secure Sandbox: Upload Manuscript / Dataset Draft (PDF, DOCX, or CSV)". A secondary text field labeled: "Alternative Manual Input: Paste Methodology / Text Details". A dropdown parameter selector: [Parameter Group A / Baseline Metrics Checklist]. 2. Localized Governance Engine Setup Connect this frontend interface securely to an LLM endpoint (via Microsoft Copilot Studio, Azure OpenAI Studio template, or a standard private API pipeline). Define system prompts to parse the document's sections (checking for structural clarity, data mapping consistency, and alignment with baseline formatting rules). 3. Dynamic Output & Accountability Dashboard Upon document submission, the UI must refresh dynamically to show: Maturity / Verification Score: A clean progress gauge (e.g., Ecosystem Readiness Level: 84%). Compliance Rules Checklist: Visual indicators displaying: [Passed] Citation & Data Anonymization Check [Passed] Methodological Parameter Scope [Warning] Formatting Ambiguity Detected in Section 3 Actionable Next Steps: A generated text box detailing exactly what parameters need optimization. Technical Constraints: Must be deployed on a functional, live preview web URL so I can interact with it live during the meeting. Data privacy configuration must be explicitly set to ensure no data processed is utilized for public model training datasets. Important Fail-Safe: Hardcode a single specific fallback template path into the interface so that if the live internet connection fluctuates during the review, the target upload file will immediately trigger the exact correct completed dashboard layout cleanly.

Machine Learning Research Proposal Specialist

Overview We are looking for a Machine Learning Research Proposal Specialist to create a polished, professional research-style write-up for an ML evaluation task. The submission should propose a machine learning problem within the writer’s domain of expertise and must be directly related to machine learning. The final deliverable should be written in markdown format, follow the provided template exactly, and be no longer than 1–2 pages with a maximum of 8 paragraphs. Project Goal The goal of this project is to design a machine learning benchmark or problem that is complex enough to challenge a strong state-of-the-art LLM. The problem should not be a simple generic ML pipeline task. It should require deep domain expertise, advanced reasoning, and layered technical understanding that would be difficult for a general-purpose model to solve without specialized knowledge. Responsibilities The selected specialist will write a complete research proposal-style submission using the required sections: Domain and Motivation, Task Design, Data and Data Generation, Sources of Difficulty, Reference Solution and Scoring, and Citations. Each section should be concise, polished, and limited to one paragraph. The proposal should clearly explain the ML domain, why the task is meaningful, what is being predicted, how the data would be generated or adapted, why the task requires extrapolation, and why naive approaches would fail. Ideal Candidate The ideal candidate has strong experience in machine learning, applied AI, data science, or ML research, with expertise in at least one technical or scientific domain such as healthcare, finance, robotics, cybersecurity, biology, materials science, geospatial analysis, NLP, computer vision, or another complex field. They should be able to design a creative ML task that rewards real domain knowledge rather than basic textbook ML skills. Required Skills Strong understanding of machine learning problem formulation, benchmark design, data generation strategies, train/test split methodology, model evaluation, and scoring metrics is required. The candidate should also be comfortable explaining why a task is difficult, what domain-specific insights are needed, and how an expert would approach solving the problem. Clear technical writing and the ability to produce concise markdown-formatted documentation are essential. Deliverable The final deliverable will be a markdown-formatted research proposal following the provided template. It should be professional, concise, and no more than 8 paragraphs total. The proposal must involve machine learning directly and should include citations where applicable, such as relevant research papers, datasets, GitHub repositories, or other credible references that support the proposed task. Important Notes This is a machine learning evaluation project, so proposals that are not directly related to ML will not be accepted. The model output should be ignored during the evaluation process, and once the prompt has been entered and the model generates a response, the evaluator should select “Done Chatting.”

opportunity

Meta & Google Retargeting Specialist Needed

Meta & Google Retargeting Specialist Needed – Complete Remarketing System Setup We are looking for an experienced Meta and Google tracking specialist to build a complete retargeting and remarketing system for our business. Our primary objective is to re-engage people who have already visited our website, reminding them about our treatments and encouraging them to book a consultation or treatment. This is not simply a Meta Pixel installation. We are looking for someone with strong technical knowledge of tracking, attribution and remarketing who can build the complete system and advise us on best practice. Website We operate a specialist aesthetics and skin treatment clinic offering scar camouflage, stretch mark camouflage, vitiligo camouflage, skin rejuvenation, training courses and consultations. Project Objectives We want visitors to our website to see relevant adverts on Facebook, Instagram and, where appropriate, across Google's Display Network after leaving our website. We would like to build multiple retargeting audiences based on the pages visitors have viewed and the actions they have taken. We also want accurate conversion tracking so we can understand which marketing activities are generating enquiries and bookings. Scope of Work Meta Install and configure Meta Pixel Configure Meta Conversions API (CAPI) Verify our domain Configure Aggregated Event Measurement Test all Meta events Google Install and configure Google Tag Manager Install Google Analytics 4 Configure Google Ads Remarketing Link GA4 with Google Ads where appropriate Conversion Tracking Track all relevant website activity including: Page views Individual treatment pages Training course pages Consultation enquiries Contact forms Telephone clicks Email clicks WhatsApp clicks (if applicable) Booking requests Purchases or deposits (if applicable) Please advise if there are additional conversion events you would recommend. Retargeting Audiences We would like audiences created for: All website visitors Visitors within the last 7, 30 and 180 days Visitors to individual treatment pages Visitors who viewed multiple pages Visitors who reached our contact page but did not enquire Visitors who submitted enquiries Existing customers (for exclusion where appropriate) Please advise on any additional audience strategies that would improve campaign performance. Campaign Strategy As part of this project, we would like your recommendations on: The most effective retargeting strategy for a treatment-based business Recommended campaign structure Audience segmentation Budget recommendations Frequency recommendations Exclusion audiences Lookalike audiences (if appropriate) Creative Advice Please advise us what marketing assets you require in order to build high-performing remarketing campaigns, for example: Image sizes Video specifications Before and after images Testimonials Brand graphics Copy requirements Call-to-action recommendations If there are additional assets that would improve campaign performance, please advise. Reporting & Training We do not simply want the system installed—we want to understand how it works. Before completion, please provide: A walkthrough showing how to view website visitors How to see audience sizes How to monitor conversions How to check whether events are firing correctly How to measure the success of our remarketing campaigns How to interpret the key metrics Basic guidance on maintaining the system A recorded video or live walkthrough is acceptable. Ownership All tracking assets must be created within our own accounts. We must remain the owner of: Meta Business Manager Meta Pixel Meta Conversions API Google Analytics 4 Google Tag Manager Google Ads Any audiences or tracking assets created Please do not create assets under your own account and share access. Everything must remain fully owned by our business. GDPR Please ensure all tracking is configured in accordance with UK GDPR and integrates correctly with our cookie consent platform. Deliverables By the end of the project we expect: Fully functioning Meta Pixel Fully functioning Meta Conversions API Google Tag Manager configured Google Analytics 4 configured Google Ads Remarketing configured All conversion events tested Remarketing audiences created Basic reporting dashboard Guidance on campaign performance Advice on creative assets required Documentation or walkthrough explaining how to use the system Please Include When applying, please provide: Examples of similar retargeting projects Your experience with Meta Pixel, Conversions API, GA4 and Google Tag Manager Your experience with remarketing for service-based businesses Your estimated completion time Your fixed project price We are looking for a technical specialist with genuine experience in attribution, tracking and remarketing rather than someone who simply manages Facebook adverts.