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About Micro1: Role Title: Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)Role Type: ContractorLocation: Remote (Worldwide)Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.Key ResponsibilitiesDesign and write challenging, expert-level scientific problems in computational chemistry, structural biology, and drug discovery, with clear, verifiable solutions.Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, identifying subtle errors that non-specialists would miss.Develop detailed rubrics and reference answers grounded in the primary literature and established methodology.Apply domain expertise across areas such as molecular modeling and simulation, protein structure prediction and design, virtual screening and docking, QSAR/ADMET modeling, and proteomics/metabolomics data analysis.Provide clear written explanations of your reasoning, so that other experts can follow and validate it.Meet quality standards through iterative feedback and peer review cycles.Required Qualifications (MUST)PhD in Computational Chemistry, Structural Biology, Biophysics, Bioinformatics, Medicinal Chemistry, Biochemistry, or a closely related field.Hands-on research experience in an academic or industry lab (wetlab experience is a plus).Professional written and spoken English (C1 or higher).Preferred SkillsPostdoctoral or industry research experience (pharma/biotech) in drug discovery or structural biology.Strong publication record, particularly first-author papers in relevant journals.Molecular modeling and simulation: GROMACS, AMBER, NAMD, OpenMM, free energy methods (FEP/TI).Structure prediction and design: AlphaFold, Rosetta, homology modeling, cryo-EM / X-ray crystallography data interpretation.Docking and virtual screening: AutoDock, Glide, Schrödinger Suite, MOE.Cheminformatics: RDKit, QSAR/QSPR, ADMET prediction, fingerprinting, library design.Proteomics and metabolomics: LC-MS/MS, MaxQuant, DIA/DDA workflows, PTM analysis, untargeted metabolomics.Programming: Python (required in practice), plus R, Bash, or similar; experience with ML for molecular property prediction (GNNs, generative models) is a plus.Experience with benchmarking, model evaluation, or scientific writing/reviewing.Ability to explain complex scientific concepts clearly and precisely in writing.

About Micro1: Job Title: Clinical, Microbiome & Translational Research Scientist (PhD)Job Type: ContractorLocation: Remote(Worldwide)Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.Key ResponsibilitiesDesign and write challenging, expert-level scientific problems in microbiome/metagenomics, clinical and translational bioinformatics, and related life sciences, with clear, verifiable solutions.Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors non-specialists would miss.Develop detailed rubrics and reference answers grounded in primary literature and established methodology.Apply domain expertise across areas such as 16S and shotgun metagenomics, virome/host-microbiome analysis, biomarker discovery, clinical genomics, and omics-driven precision medicine.Provide clear written explanations of your reasoning so other experts can follow and validate it.Meet quality standards through iterative feedback and peer review.Required Qualifications (MUST)PhD in Microbiology, Bioinformatics, Computational Biology, Biomedical Sciences, Immunology, Epidemiology, or a closely related field.Hands-on research experience in an academic or industry lab (wetlab experience is a plus).Professional written and spoken English (C1 or higher).Preferred SkillsPostdoctoral or industry research experience in microbiome, clinical, or translational research.Publication record, ideally first-author papers in relevant journals.Microbiome tools: QIIME2, Kraken2, MetaPhlAn, HUMAnN, MAG assembly/binning, virome analysis.Clinical/translational: TCGA, UK Biobank, biomarker discovery, survival analysis, EHR + omics integration, oncology/immunology genomics.Statistics and ML for high-dimensional biological data.Programming: Python and/or R (required in practice), Bash, workflow tools.Experience reviewing, benchmarking, or writing scientific content.

About Micro1: Job Title: Life Sciences Research Scientist (PhD): Wet Lab & Computational BiologyJob Type: ContractorLocation: Remote(Worldwide)Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.Key ResponsibilitiesDesign and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions.Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss.Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.Apply your domain expertise in areas such as genomics, transcriptomics and single-cell/spatial omics, epigenomics, proteomics and metabolomics, microbiome and metagenomics, structural biology, drug discovery, systems biology, and clinical/translational research.Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound.Provide clear written explanations of your reasoning so other experts can follow and validate it.Meet quality standards through iterative feedback and peer review.Required Qualifications (MUST)Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field.Hands-on research experience in an academic, institutional, or industry research laboratory.Professional written and spoken English (C1 or higher).Strongly PreferredWet lab experience: you have personally performed experiments (e.g., PCR/qPCR, cell culture, sequencing library prep, Western blot, protein purification, LC-MS sample prep, CRISPR workflows).Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent.Peer-reviewed publications, ideally as first or corresponding author.PhD from a top research university (US, UK, or other leading institutions).

About Micro1: Job DescriptionRole Title: App Security ExpertRole Type: ContractorLocation: Remotemicro1 is engaging App Security Experts to contribute to a customer’s dynamic project focused on real-world application security. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkDesign and implement small, purpose-built application fixtures with embedded security vulnerabilities or secure solutions, specifically addressing OWASP LLM risks such as Sensitive Information Disclosure and Excessive Agency.Develop deterministic test cases and security-context manifests to robustly assess application security posture.Create detailed hidden answer keys to enable accurate AI or scanner evaluation of vulnerable versus secure code.Evaluate and iterate on pipeline methodologies to ensure synthetic tasks and fixtures are challenging yet realistic for AppSec assessment.Document technical insights and methodologies, ensuring clarity in written feedback and communication.Collaborate through clear and thorough written and verbal communication to share findings and review peer contributions.Engage with agent-based security architecture and contribute to continuous improvement of the evaluation pipeline.Preferred QualificationsExtensive experience (ideally 5+ years) in application security, secure software development, or CyberSWE roles.Strong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices.Proven track record designing or evaluating security architecture for traditional and agent-based applications.Expertise in building, securing, and testing application codebases, including identifying and remediating advanced vulnerabilities.Exceptional written and verbal communication skills, with a focus on precise technical documentation and collaborative feedback.Experience with synthetic security fixtures and deterministic testing approaches is highly desirable.Demonstrated ability to deliver thoughtful insights and actionable security recommendations in a remote contribution context.

About Micro1: Job DescriptionRole Title: English Voice RecordingRole Type: ContractorLocation: Remote (U.S.-based only) Opportunity SnapshotPay: $20 - 70/hourProject kickoff: Monday, October 19thYou’ll need: A quiet room with no background noise, a reliable internet connection, and a smartphone or computer that can record clear audioYour tasks: Read provided English text aloud, record it following detailed guidelines, and submit clean audio filesmicro1 is engaging native and near-native English speakers for a read-aloud speech recording project. The work is straightforward: you’ll be given English text, you read it aloud following clear guidelines, and you submit the recording. Your voice helps train next-generation AI speech systems. No prior AI experience is required — clear speech and careful attention to instructions are what matter.Scope of WorkRead provided English prompts aloud, accurately and naturally, following the pronunciation and pacing guidelines.Follow the instructions for each prompt exactly — including reading answer choices when the task asks for it — without adding your own responses or interpretations.Record and submit clear audio files using the tools or platform provided.Keep your delivery consistent across sessions: same clarity, same enunciation, same pace.Re-record and resubmit when a take doesn’t meet the quality standard.Flag prompts that are unclear, ambiguous, or have technical problems instead of guessing how to read them.Stay in touch with project coordinators to align on quality expectations.Preferred QualificationsNative or near-native English speaker, with clear and natural spoken delivery.Able to read written text aloud smoothly, without stumbling or flattening it into a monotone.Strong attention to detail and the discipline to follow instructions exactly, every time.Access to a consistently quiet space for recording.Reliable internet connection.Comfortable working independently and submitting on schedule.Experience with voice work, audiobook narration, voiceover, or audio recording tools is a plus, but not required.How the selection process worksApply and complete the screening questionsComplete the AI interviewFill out a formProfile reviewOnboarding — our Talent Ops team will get you set up.