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Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a detail-oriented and experienced Capital Project Audit professional to join our team. In this role, you will be responsible for auditing capital projects to ensure compliance with company policies, regulatory requirements, and financial accuracy. You will evaluate project performance, identify risks, and recommend improvements to enhance project controls and governance. Key Responsibilities: Perform thorough audits of capital projects, including reviewing budgets, verifying expenses, and assessing compliance. Assess the efficiency of project controls, governance structures, and risk management processes. Detect potential financial, operational, and compliance risks in capital projects and propose appropriate mitigation measures. Work closely with project managers, finance teams, and other relevant parties to resolve audit issues. Compile comprehensive audit reports and communicate the results to senior management. Oversee the implementation of audit recommendations and monitor corrective actions. Keep current with industry auditing standards and best practices related to capital projects. Governance, planning, and scheduling of projects Procurement processes, contract management, and cost control Monitoring execution and reporting project progress Testing, commissioning, and transferring project ownership Requirements Requirements: Bachelor’s degree in Accounting, Finance, Business Administration, or a related discipline. At least 5 years of auditing experience, ideally concentrating on capital projects or construction audits. In-depth understanding of auditing standards, financial controls, and project management concepts. Skilled in using various audit tools and software applications. Excellent analytical, problem-solving, and communication abilities. Capable of working independently as well as collaboratively within a cross-functional team. Possession of relevant certifications such as CPA, CIA, or CISA is preferred. Detail-oriented with strong organizational capabilities. Bilingual proficiency in Arabic and English, with experience in the Hajj and Umrah sectors. Comprehensive experience in auditing capital projects. Robust background in the hospitality industry. Knowledgeable about the regulatory requirements of the Ministry of Tourism and the Capital Market Authority (CMA).

Location: Argentina; Colombia; Mexico; Honduras; Brazil We are hiring a high-caliber Executive Assistant to work directly with a Principal in a fast-growing real estate investment and development company . This is not a traditional administrative role . It is designed as a stepping stone into an Operations Associate / Operations Manager path , with direct exposure to acquisitions, capital raising, construction, leasing, and asset management. You will play a key role in building structure, improving execution, and helping scale the business. Key Responsibilities Principal Productivity & Execution Run weekly time reviews and generate actionable summaries Track performance against an “ideal day” structure and identify gaps Review dashboards (Asana, time tracking) to surface priorities Send daily priority updates (tasks, decisions, follow-ups) Apply clear frameworks for prioritization, delegation, and scheduling Inbox, Calendar & Follow-Ups Manage calendar, meetings, and confirmations Maintain daily inbox organization (prioritize, delegate, clean) Track follow-ups and ensure nothing falls through the cracks Maintain and act on “waiting on others” lists Operations & Business Support Keep Google Drive and internal documentation structured and updated Maintain CRM hygiene (HubSpot) and investor follow-ups Support reporting, KPI tracking, and dashboard updates Assist with vendor coordination and project tracking Support property management workflows and leasing coordination Systems & Process Optimization Build and refine SOPs across operations (leasing, investor communication, onboarding, etc.) Maintain clear and usable documentation (Google Docs, Loom, checklists) Improve cross-team workflows (acquisitions → rehab → lease-up) Identify and implement simple system improvements and integrations Personal Support (Light) Track and review personal budget and expenses Support scheduling of personal and family activities Requirements 5–7 years of experience in EA, Operations, Chief of Staff, or similar roles Experience in real estate, PropTech, FinTech, or adjacent industries is highly preferred Proven experience building or improving systems and SOPs Strong ownership mindset with the ability to drive execution independently Excellent organization and attention to detail Strong written communication and documentation skills Proficiency with Google Workspace, Asana (or similar), and CRMs (HubSpot preferred) Comfortable blending business and personal executive support Availability during Pacific / Mountain Time working hours Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: India Position: Talent Acquisition Specialist (India - Remote) Job Summary: We are seeking a dynamic and results-driven Talent Acquisition Specialist to join our team, focusing on hiring candidates within India. This role is pivotal in sourcing, attracting, and interviewing candidates to find the ideal fit for our vacancies. The ideal candidate will be responsible for selecting and advancing qualified candidates to the subsequent stages of their application, including the evaluation of assessment examination results. Key Responsibilities • Strategic Sourcing and Screening: Conduct daily in-depth assessments and screenings of all applicants, ensuring a high-quality candidate pipeline for positions within India. • Interviewing Excellence: Implement and apply various interviewing techniques and methods to thoroughly evaluate candidates during in-depth interviews. • Initial Candidate Engagement: Perform initial screening interviews, identifying potential fits for further evaluation. • Collaborative Hiring: Work closely with Hiring Managers to recommend candidates, partnering with relevant stakeholders to offer competitive compensation packages and negotiate with candidates effectively. • Record Keeping and Compliance: Maintain accurate and concise records and reports on all recruitment phases, utilizing Applicant Tracking System (ATS) and HRIS tools, ensuring compliance with local Indian regulations and hiring practices. • Performance Metrics: Achieve target Ops Validation endorsements, maintaining high standards and expectations throughout the screening process. • Process Calibration: Regularly calibrate screening and selection processes with Hiring Managers to align with specific account requirements and organizational goals. • End-to-End Recruitment: Manage the entire recruitment lifecycle, from sourcing and interviewing to assessment administration and final decision-making. Desired Skills and Qualifications: • Proven experience in Talent Acquisition, with a strong understanding of the Indian job market and hiring practices. • Excellent communication and interpersonal skills, with the ability to engage effectively with candidates and stakeholders. • Strong analytical skills and the ability to conduct thorough candidate evaluations. • Proficiency in using ATS specifically Breezy HR, and Job Boards such as LinkedIn Recruiter, Indeed and the like. • Knowledge of local employment laws and regulations in India. • Ability to work in a fast-paced environment and manage multiple priorities. • Team player with a strong work ethic and the ability to handle confidential information with discretion. Job details: • Employment Type: Contract • Duration: 1 year, with the possibility of extension • Compensation: Given the full-time support required, the projected monthly income ranges from ₹30,000 to ₹40,000. • Work Schedule: Monday through Friday, adhering to a night shift to align with US Time Zones (9:30 PM – 6:30 AM IST). • Location: Remote (Work from Home) • Internet Requirements: A minimum internet speed of 50 Mbps is required, with a LAN connection recommended for optimal performance. Join Us: Become a part of our dynamic team and contribute to our mission of finding the best talent to drive our organization forward. If you are passionate about recruitment and want to make a significant impact in a growing company, we would love to hear from you.

Location: United States; North Carolina; Illinois; California; Arizona; Florida; Frankfurt; Georgia; Idaho; Indiana; Iowa; Kansas; Louisiana; Maine; Massachusetts Workplace: remote Transcriber – Audio & Annotation Projects  Location - all of the US We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in American English Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Finland Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Finnish Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Portugal Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Portuguese Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Vietnam Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Arabic Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Czechia Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Czech Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Denmark Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Danish Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Egypt; Tunisia; Saudi Arabia; Algeria Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Arabic Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Spain Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Indonesian Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: France Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in French Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: India; Suriname; United States Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Hindi Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Hungary Workplace: remote Transcriber – Audio & Annotation Projects We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Very high proficiency in Hungarian Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work